Micro-Star International Co., Ltd. MS-7D78
Geekbench ML Score
26067
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 08 2024 02:49 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D78 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-P WIFI (MS-7D78) |
| Power Plan | Utilisation normale |
| 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 4080 SUPER |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
11469
2.15 KIPS |
|
|
Image Classification (F16)
|
100% |
12059
2.26 KIPS |
|
|
Image Classification (I8)
|
100% |
10231
1.91 KIPS |
|
|
Image Segmentation (F32)
|
100% |
19535
326.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
18966
316.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
17272
288.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
240272
291.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
240279
291.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
211178
255.7 IPS |
|
|
Object Detection (F32)
|
100% |
7933
592.3 IPS |
|
|
Object Detection (F16)
|
100% |
7942
593.0 IPS |
|
|
Object Detection (I8)
|
56% |
7502
560.1 IPS |
|
|
Face Detection (F32)
|
100% |
38406
456.7 IPS |
|
|
Face Detection (F16)
|
100% |
39655
471.5 IPS |
|
|
Face Detection (I8)
|
89% |
33584
399.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
67960
527.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
68479
531.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
55368
429.4 IPS |
|
|
Style Transfer (F32)
|
100% |
354116
465.8 IPS |
|
|
Style Transfer (F16)
|
100% |
350524
461.1 IPS |
|
|
Style Transfer (I8)
|
98% |
309989
407.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
47443
1.69 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
50079
1.79 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
38025
1.36 KIPS |
|
|
Text Classification (F32)
|
100% |
2985
4.29 KIPS |
|
|
Text Classification (F16)
|
100% |
3017
4.34 KIPS |
|
|
Text Classification (I8)
|
98% |
1914
2.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
5177
95.3 IPS |
|
|
Machine Translation (F16)
|
100% |
5006
92.1 IPS |
|
|
Machine Translation (I8)
|
70% |
2848
52.4 IPS |
