Micro-Star International Co., Ltd. MS-7D75
Geekbench ML Score
5461
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 01 2024 10:25 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
3084
577.0 IPS |
|
|
Image Classification (F16)
|
100% |
3073
575.1 IPS |
|
|
Image Classification (I8)
|
99% |
6377
1.19 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2622
43.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
2596
43.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
3091
51.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
9142
11.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
9148
11.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
30851
37.4 IPS |
|
|
Object Detection (F32)
|
100% |
2757
205.8 IPS |
|
|
Object Detection (F16)
|
100% |
2783
207.8 IPS |
|
|
Object Detection (I8)
|
62% |
2832
211.4 IPS |
|
|
Face Detection (F32)
|
100% |
5791
68.9 IPS |
|
|
Face Detection (F16)
|
100% |
5784
68.8 IPS |
|
|
Face Detection (I8)
|
89% |
7118
84.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
10772
83.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
10791
83.7 IPS |
|
|
Depth Estimation (I8)
|
96% |
21916
170.0 IPS |
|
|
Style Transfer (F32)
|
100% |
23010
30.3 IPS |
|
|
Style Transfer (F16)
|
100% |
23057
30.3 IPS |
|
|
Style Transfer (I8)
|
98% |
36290
47.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4515
161.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4499
160.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
5602
200.1 IPS |
|
|
Text Classification (F32)
|
100% |
2387
3.43 KIPS |
|
|
Text Classification (F16)
|
100% |
2395
3.44 KIPS |
|
|
Text Classification (I8)
|
98% |
494
710.1 IPS |
|
|
Machine Translation (F32)
|
100% |
3382
62.2 IPS |
|
|
Machine Translation (F16)
|
100% |
3364
61.9 IPS |
|
|
Machine Translation (I8)
|
67% |
4325
79.6 IPS |
