Micro Computer (HK) Tech Limited AtomMan
Geekbench ML Score
2435
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 11:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd MTBAC |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 22 |
| L1 Data Cache | 32.0 KB x 22 |
| L2 Cache | 2.00 MB x 2 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
906
169.6 IPS |
|
|
Image Classification (F16)
|
100% |
1110
207.7 IPS |
|
|
Image Classification (I8)
|
100% |
978
183.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1306
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1281
21.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1076
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
11476
13.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
11690
14.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
9864
11.9 IPS |
|
|
Object Detection (F32)
|
100% |
937
70.0 IPS |
|
|
Object Detection (F16)
|
100% |
1043
77.9 IPS |
|
|
Object Detection (I8)
|
54% |
887
66.2 IPS |
|
|
Face Detection (F32)
|
100% |
1041
12.4 IPS |
|
|
Face Detection (F16)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (I8)
|
89% |
946
11.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6251
48.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
6464
50.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
5350
41.5 IPS |
|
|
Style Transfer (F32)
|
100% |
33862
44.5 IPS |
|
|
Style Transfer (F16)
|
100% |
34536
45.4 IPS |
|
|
Style Transfer (I8)
|
98% |
26526
34.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
6383
227.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
6323
225.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4321
154.3 IPS |
|
|
Text Classification (F32)
|
90% |
690
991.0 IPS |
|
|
Text Classification (F16)
|
90% |
552
793.2 IPS |
|
|
Text Classification (I8)
|
90% |
478
687.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1116
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1161
21.4 IPS |
|
|
Machine Translation (I8)
|
70% |
697
12.8 IPS |
