Micro Computer (HK) Tech Limited AtomMan G Series
Geekbench ML Score
4682
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 06:16 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan G Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRBAA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 32.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1699
317.9 IPS |
|
|
Image Classification (F16)
|
100% |
1716
321.1 IPS |
|
|
Image Classification (I8)
|
99% |
4268
798.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1862
31.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
2052
34.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
3751
62.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
13358
16.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
13377
16.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
37410
45.3 IPS |
|
|
Object Detection (F32)
|
100% |
1949
145.5 IPS |
|
|
Object Detection (F16)
|
100% |
1950
145.6 IPS |
|
|
Object Detection (I8)
|
62% |
2011
150.1 IPS |
|
|
Face Detection (F32)
|
100% |
3578
42.5 IPS |
|
|
Face Detection (F16)
|
100% |
3565
42.4 IPS |
|
|
Face Detection (I8)
|
89% |
5201
61.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
9211
71.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
9170
71.1 IPS |
|
|
Depth Estimation (I8)
|
96% |
19546
151.6 IPS |
|
|
Style Transfer (F32)
|
100% |
26008
34.2 IPS |
|
|
Style Transfer (F16)
|
100% |
25986
34.2 IPS |
|
|
Style Transfer (I8)
|
98% |
32963
43.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3614
129.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3615
129.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4961
177.2 IPS |
|
|
Text Classification (F32)
|
100% |
1504
2.16 KIPS |
|
|
Text Classification (F16)
|
100% |
1491
2.14 KIPS |
|
|
Text Classification (I8)
|
98% |
1178
1.69 KIPS |
|
|
Machine Translation (F32)
|
100% |
2976
54.8 IPS |
|
|
Machine Translation (F16)
|
100% |
2984
54.9 IPS |
|
|
Machine Translation (I8)
|
67% |
3859
71.0 IPS |
