Micro-Star International Co., Ltd. MS-7D75
Geekbench ML Score
23701
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 03:40 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Prestazioni elevate |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| L1 Instruction Cache | 32.0 KB x 12 |
| L1 Data Cache | 32.0 KB x 12 |
| L2 Cache | 1.00 MB x 12 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10664
2.00 KIPS |
|
|
Image Classification (F16)
|
100% |
10779
2.02 KIPS |
|
|
Image Classification (I8)
|
100% |
9331
1.75 KIPS |
|
|
Image Segmentation (F32)
|
100% |
18512
309.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
18319
305.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
17022
284.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
171472
207.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
172475
208.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
153862
186.3 IPS |
|
|
Object Detection (F32)
|
100% |
7482
558.6 IPS |
|
|
Object Detection (F16)
|
100% |
7439
555.4 IPS |
|
|
Object Detection (I8)
|
56% |
6687
499.2 IPS |
|
|
Face Detection (F32)
|
100% |
34998
416.1 IPS |
|
|
Face Detection (F16)
|
100% |
35671
424.1 IPS |
|
|
Face Detection (I8)
|
89% |
29741
353.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
64471
500.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
61805
479.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
50736
393.5 IPS |
|
|
Style Transfer (F32)
|
100% |
292327
384.5 IPS |
|
|
Style Transfer (F16)
|
100% |
295647
388.9 IPS |
|
|
Style Transfer (I8)
|
98% |
261034
343.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
46628
1.67 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
46628
1.67 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
34322
1.23 KIPS |
|
|
Text Classification (F32)
|
100% |
3039
4.37 KIPS |
|
|
Text Classification (F16)
|
100% |
3003
4.32 KIPS |
|
|
Text Classification (I8)
|
98% |
1962
2.82 KIPS |
|
|
Machine Translation (F32)
|
100% |
5099
93.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5096
93.8 IPS |
|
|
Machine Translation (I8)
|
70% |
2839
52.2 IPS |
