Micro Computer (HK) Tech Limited AtomMan G Series
Geekbench ML Score
3765
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 04:30 PM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan G Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd RPDMA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 2.00 MB x 4 |
| L3 Cache | 36.0 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% |
2109
394.7 IPS |
|
|
Image Classification (F16)
|
100% |
2110
394.8 IPS |
|
|
Image Classification (I8)
|
99% |
3249
607.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1762
29.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1915
32.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2581
43.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
8692
10.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
8308
10.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
23592
28.6 IPS |
|
|
Object Detection (F32)
|
100% |
1941
144.9 IPS |
|
|
Object Detection (F16)
|
100% |
1894
141.4 IPS |
|
|
Object Detection (I8)
|
62% |
1655
123.6 IPS |
|
|
Face Detection (F32)
|
100% |
3787
45.0 IPS |
|
|
Face Detection (F16)
|
100% |
4071
48.4 IPS |
|
|
Face Detection (I8)
|
89% |
4034
48.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
8769
68.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
8186
63.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
12843
99.6 IPS |
|
|
Style Transfer (F32)
|
100% |
20007
26.3 IPS |
|
|
Style Transfer (F16)
|
100% |
18593
24.5 IPS |
|
|
Style Transfer (I8)
|
98% |
21992
28.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3602
128.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3683
131.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4219
150.7 IPS |
|
|
Text Classification (F32)
|
100% |
1304
1.87 KIPS |
|
|
Text Classification (F16)
|
100% |
1372
1.97 KIPS |
|
|
Text Classification (I8)
|
98% |
384
551.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1745
32.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1722
31.7 IPS |
|
|
Machine Translation (I8)
|
67% |
2653
48.8 IPS |
