Micro-Star International Co., Ltd. MS-7C91
Geekbench ML Score
3986
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | January 07 2024 10:36 AM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C91 |
| Motherboard | Micro-Star International Co., Ltd. MAG B550 TOMAHAWK (MS-7C91) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.80 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% |
2504
468.6 IPS |
|
|
Image Classification (F16)
|
100% |
2500
467.8 IPS |
|
|
Image Classification (I8)
|
97% |
4123
771.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
2236
37.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1705
28.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
2271
37.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
7255
8.79 IPS |
|
|
Pose Estimation (F16)
|
100% |
7192
8.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
13699
16.6 IPS |
|
|
Object Detection (F32)
|
100% |
2334
174.2 IPS |
|
|
Object Detection (F16)
|
100% |
2270
169.4 IPS |
|
|
Object Detection (I8)
|
60% |
2150
160.5 IPS |
|
|
Face Detection (F32)
|
100% |
3545
42.2 IPS |
|
|
Face Detection (F16)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (I8)
|
87% |
4643
55.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
8597
66.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
8613
66.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
12383
96.0 IPS |
|
|
Style Transfer (F32)
|
100% |
17334
22.8 IPS |
|
|
Style Transfer (F16)
|
100% |
17386
22.9 IPS |
|
|
Style Transfer (I8)
|
85% |
18192
23.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3546
126.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3540
126.4 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
4085
145.9 IPS |
|
|
Text Classification (F32)
|
100% |
2106
3.03 KIPS |
|
|
Text Classification (F16)
|
100% |
2105
3.03 KIPS |
|
|
Text Classification (I8)
|
94% |
412
592.2 IPS |
|
|
Machine Translation (F32)
|
100% |
2776
51.1 IPS |
|
|
Machine Translation (F16)
|
100% |
2719
50.0 IPS |
|
|
Machine Translation (I8)
|
67% |
2848
52.4 IPS |
