Micro-Star International Co., Ltd. MS-7D78
Geekbench ML Score
4955
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 02:39 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D78 |
| Motherboard | Micro-Star International Co., Ltd. PRO B650-P WIFI (MS-7D78) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2913
545.2 IPS |
|
|
Image Classification (F16)
|
100% |
2944
550.9 IPS |
|
|
Image Classification (I8)
|
99% |
6083
1.14 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2396
40.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
2289
38.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2715
45.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
8611
10.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
8600
10.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
29280
35.5 IPS |
|
|
Object Detection (F32)
|
100% |
2559
191.0 IPS |
|
|
Object Detection (F16)
|
100% |
2674
199.7 IPS |
|
|
Object Detection (I8)
|
62% |
2767
206.6 IPS |
|
|
Face Detection (F32)
|
100% |
4563
54.3 IPS |
|
|
Face Detection (F16)
|
100% |
4454
53.0 IPS |
|
|
Face Detection (I8)
|
89% |
5851
69.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
9766
75.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
9919
76.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
19733
153.0 IPS |
|
|
Style Transfer (F32)
|
100% |
19735
26.0 IPS |
|
|
Style Transfer (F16)
|
100% |
19867
26.1 IPS |
|
|
Style Transfer (I8)
|
98% |
30153
39.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4328
154.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4247
151.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5287
188.8 IPS |
|
|
Text Classification (F32)
|
100% |
2414
3.47 KIPS |
|
|
Text Classification (F16)
|
100% |
2476
3.56 KIPS |
|
|
Text Classification (I8)
|
98% |
418
601.1 IPS |
|
|
Machine Translation (F32)
|
100% |
2950
54.3 IPS |
|
|
Machine Translation (F16)
|
100% |
3009
55.4 IPS |
|
|
Machine Translation (I8)
|
67% |
3861
71.0 IPS |
