Micro-Star International Co., Ltd. MS-7C95
Geekbench ML Score
3367
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 03:06 PM |
| Views | 3 |
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% |
2195
410.8 IPS |
|
|
Image Classification (F16)
|
100% |
1905
356.4 IPS |
|
|
Image Classification (I8)
|
97% |
3730
697.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1917
32.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1916
32.0 IPS |
|
|
Image Segmentation (I8)
|
97% |
2015
33.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
6179
7.48 IPS |
|
|
Pose Estimation (F16)
|
100% |
5401
6.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
12004
14.5 IPS |
|
|
Object Detection (F32)
|
100% |
1717
128.2 IPS |
|
|
Object Detection (F16)
|
100% |
1927
143.9 IPS |
|
|
Object Detection (I8)
|
60% |
1908
142.4 IPS |
|
|
Face Detection (F32)
|
100% |
3097
36.8 IPS |
|
|
Face Detection (F16)
|
100% |
2911
34.6 IPS |
|
|
Face Detection (I8)
|
87% |
4233
50.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6808
52.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
7019
54.4 IPS |
|
|
Depth Estimation (I8)
|
74% |
11207
86.9 IPS |
|
|
Style Transfer (F32)
|
100% |
13778
18.1 IPS |
|
|
Style Transfer (F16)
|
100% |
13341
17.5 IPS |
|
|
Style Transfer (I8)
|
85% |
15375
20.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2619
93.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2395
85.5 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
3294
117.6 IPS |
|
|
Text Classification (F32)
|
100% |
1751
2.52 KIPS |
|
|
Text Classification (F16)
|
100% |
1704
2.45 KIPS |
|
|
Text Classification (I8)
|
94% |
394
566.9 IPS |
|
|
Machine Translation (F32)
|
100% |
2405
44.3 IPS |
|
|
Machine Translation (F16)
|
100% |
2436
44.8 IPS |
|
|
Machine Translation (I8)
|
67% |
2742
50.5 IPS |
