Micro Computer (HK) Tech Limited MS-A1
Geekbench ML Score
4027
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 07 2024 05:43 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited MS-A1 |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd A5WSP |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 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 | 16.0 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% |
2260
423.0 IPS |
|
|
Image Classification (F16)
|
100% |
2255
422.1 IPS |
|
|
Image Classification (I8)
|
99% |
5368
1.00 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1180
19.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
995
16.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
2653
44.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
7748
9.38 IPS |
|
|
Pose Estimation (F16)
|
100% |
7710
9.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
26805
32.5 IPS |
|
|
Object Detection (F32)
|
100% |
2221
165.8 IPS |
|
|
Object Detection (F16)
|
100% |
2242
167.3 IPS |
|
|
Object Detection (I8)
|
62% |
2134
159.3 IPS |
|
|
Face Detection (F32)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (F16)
|
100% |
3590
42.7 IPS |
|
|
Face Detection (I8)
|
89% |
5634
67.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8881
68.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
8797
68.2 IPS |
|
|
Depth Estimation (I8)
|
96% |
16948
131.4 IPS |
|
|
Style Transfer (F32)
|
100% |
17953
23.6 IPS |
|
|
Style Transfer (F16)
|
100% |
18341
24.1 IPS |
|
|
Style Transfer (I8)
|
98% |
27069
35.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3325
118.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2995
107.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4342
155.1 IPS |
|
|
Text Classification (F32)
|
100% |
2116
3.04 KIPS |
|
|
Text Classification (F16)
|
100% |
1984
2.85 KIPS |
|
|
Text Classification (I8)
|
98% |
405
582.0 IPS |
|
|
Machine Translation (F32)
|
100% |
2338
43.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2307
42.5 IPS |
|
|
Machine Translation (I8)
|
67% |
2853
52.5 IPS |
