Micro-Star International Co., Ltd. MS-7C95
Geekbench ML Score
3450
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 02:50 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C95 |
| Motherboard | Micro-Star International Co., Ltd. B550M PRO-VDH WIFI (MS-7C95) |
| Power Plan | Alto desempenho |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 512 KB x 8 |
| L3 Cache | 32.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
2114
395.5 IPS |
|
|
Image Classification (F16)
|
100% |
2132
399.0 IPS |
|
|
Image Classification (I8)
|
97% |
3732
698.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1650
27.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1941
32.4 IPS |
|
|
Image Segmentation (I8)
|
97% |
2055
34.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
6236
7.55 IPS |
|
|
Pose Estimation (F16)
|
100% |
6149
7.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
11935
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1970
147.1 IPS |
|
|
Object Detection (F16)
|
100% |
1978
147.7 IPS |
|
|
Object Detection (I8)
|
60% |
1943
145.1 IPS |
|
|
Face Detection (F32)
|
100% |
3127
37.2 IPS |
|
|
Face Detection (F16)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (I8)
|
87% |
4242
50.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
7421
57.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
7436
57.7 IPS |
|
|
Depth Estimation (I8)
|
74% |
11312
87.7 IPS |
|
|
Style Transfer (F32)
|
100% |
13929
18.3 IPS |
|
|
Style Transfer (F16)
|
100% |
14432
19.0 IPS |
|
|
Style Transfer (I8)
|
85% |
15507
20.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2925
104.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2268
81.0 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3470
123.9 IPS |
|
|
Text Classification (F32)
|
100% |
1700
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1744
2.51 KIPS |
|
|
Text Classification (I8)
|
94% |
392
563.5 IPS |
|
|
Machine Translation (F32)
|
100% |
2485
45.7 IPS |
|
|
Machine Translation (F16)
|
100% |
2450
45.1 IPS |
|
|
Machine Translation (I8)
|
67% |
2745
50.5 IPS |
