Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench ML Score
2488
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 10:13 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro Computer (HK) Tech Limited AtomMan X Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd MTBAC |
| 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 | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1122
209.9 IPS |
|
|
Image Classification (F16)
|
100% |
1106
207.0 IPS |
|
|
Image Classification (I8)
|
100% |
1012
189.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1228
20.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1235
20.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1101
18.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
12190
14.8 IPS |
|
|
Pose Estimation (F16)
|
100% |
11258
13.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
10131
12.3 IPS |
|
|
Object Detection (F32)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (F16)
|
100% |
999
74.6 IPS |
|
|
Object Detection (I8)
|
54% |
923
68.9 IPS |
|
|
Face Detection (F32)
|
100% |
1098
13.1 IPS |
|
|
Face Detection (F16)
|
100% |
1095
13.0 IPS |
|
|
Face Detection (I8)
|
89% |
986
11.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
6673
51.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
6447
50.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
5387
41.8 IPS |
|
|
Style Transfer (F32)
|
100% |
32780
43.1 IPS |
|
|
Style Transfer (F16)
|
100% |
31221
41.1 IPS |
|
|
Style Transfer (I8)
|
98% |
27220
35.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5602
200.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5633
201.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4073
145.5 IPS |
|
|
Text Classification (F32)
|
90% |
655
941.8 IPS |
|
|
Text Classification (F16)
|
90% |
636
914.5 IPS |
|
|
Text Classification (I8)
|
90% |
491
705.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1303
24.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1330
24.5 IPS |
|
|
Machine Translation (I8)
|
70% |
773
14.2 IPS |
