Micro-Star International Co., Ltd. MS-7C37
Geekbench ML Score
19206
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | nithinmohantk |
| Upload Date | January 06 2025 05:31 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C37 |
| Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 512 KB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8848
1.66 KIPS |
|
|
Image Classification (F16)
|
100% |
9109
1.70 KIPS |
|
|
Image Classification (I8)
|
100% |
8112
1.52 KIPS |
|
|
Image Segmentation (F32)
|
100% |
14687
245.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
14477
241.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
13112
219.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
136346
165.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
136884
165.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
121825
147.5 IPS |
|
|
Object Detection (F32)
|
100% |
6006
448.4 IPS |
|
|
Object Detection (F16)
|
100% |
6014
449.0 IPS |
|
|
Object Detection (I8)
|
63% |
5586
417.1 IPS |
|
|
Face Detection (F32)
|
100% |
28075
333.8 IPS |
|
|
Face Detection (F16)
|
100% |
28118
334.3 IPS |
|
|
Face Detection (I8)
|
89% |
22307
265.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
55969
434.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
50522
391.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
41485
321.7 IPS |
|
|
Style Transfer (F32)
|
100% |
219815
289.1 IPS |
|
|
Style Transfer (F16)
|
100% |
225267
296.3 IPS |
|
|
Style Transfer (I8)
|
98% |
201132
264.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
38915
1.39 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
38830
1.39 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
27917
997.0 IPS |
|
|
Text Classification (F32)
|
100% |
2538
3.65 KIPS |
|
|
Text Classification (F16)
|
100% |
2510
3.61 KIPS |
|
|
Text Classification (I8)
|
98% |
1639
2.36 KIPS |
|
|
Machine Translation (F32)
|
100% |
4171
76.8 IPS |
|
|
Machine Translation (F16)
|
100% |
4219
77.6 IPS |
|
|
Machine Translation (I8)
|
70% |
2390
44.0 IPS |
