Micro-Star International Co., Ltd. MS-7D75
Geekbench ML Score
1701
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 03:38 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 | AMD Radeon(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
607
113.5 IPS |
|
|
Image Classification (F16)
|
100% |
608
113.7 IPS |
|
|
Image Classification (I8)
|
100% |
573
107.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
1115
18.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1113
18.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
971
16.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
6271
7.59 IPS |
|
|
Pose Estimation (F16)
|
100% |
6280
7.60 IPS |
|
|
Pose Estimation (I8)
|
100% |
5645
6.84 IPS |
|
|
Object Detection (F32)
|
100% |
653
48.8 IPS |
|
|
Object Detection (F16)
|
100% |
651
48.6 IPS |
|
|
Object Detection (I8)
|
62% |
609
45.5 IPS |
|
|
Face Detection (F32)
|
100% |
1728
20.6 IPS |
|
|
Face Detection (F16)
|
100% |
1711
20.3 IPS |
|
|
Face Detection (I8)
|
89% |
1468
17.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3533
27.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
3542
27.5 IPS |
|
|
Depth Estimation (I8)
|
94% |
3229
25.0 IPS |
|
|
Style Transfer (F32)
|
100% |
10970
14.4 IPS |
|
|
Style Transfer (F16)
|
100% |
10978
14.4 IPS |
|
|
Style Transfer (I8)
|
98% |
9770
12.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2792
99.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2801
100.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2139
76.4 IPS |
|
|
Text Classification (F32)
|
100% |
683
981.5 IPS |
|
|
Text Classification (F16)
|
100% |
683
981.6 IPS |
|
|
Text Classification (I8)
|
98% |
489
702.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1087
20.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1086
20.0 IPS |
|
|
Machine Translation (I8)
|
70% |
622
11.5 IPS |
