Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench ML Score
8726
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 23 2024 10:11 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 | NVIDIA GeForce RTX 3060 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4673
874.5 IPS |
|
|
Image Classification (F16)
|
100% |
4684
876.5 IPS |
|
|
Image Classification (I8)
|
100% |
3580
669.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
4515
75.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
4530
75.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
4018
67.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
62932
76.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
62837
76.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
52069
63.1 IPS |
|
|
Object Detection (F32)
|
100% |
3884
290.0 IPS |
|
|
Object Detection (F16)
|
100% |
3779
282.1 IPS |
|
|
Object Detection (I8)
|
61% |
3250
242.6 IPS |
|
|
Face Detection (F32)
|
100% |
12358
146.9 IPS |
|
|
Face Detection (F16)
|
100% |
12376
147.2 IPS |
|
|
Face Detection (I8)
|
89% |
9865
117.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
27600
214.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
29327
227.4 IPS |
|
|
Depth Estimation (I8)
|
94% |
21284
165.1 IPS |
|
|
Style Transfer (F32)
|
100% |
103928
136.7 IPS |
|
|
Style Transfer (F16)
|
100% |
98476
129.5 IPS |
|
|
Style Transfer (I8)
|
98% |
80968
106.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
15406
550.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15790
563.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11196
399.8 IPS |
|
|
Text Classification (F32)
|
100% |
1604
2.31 KIPS |
|
|
Text Classification (F16)
|
100% |
1684
2.42 KIPS |
|
|
Text Classification (I8)
|
98% |
981
1.41 KIPS |
|
|
Machine Translation (F32)
|
100% |
1363
25.1 IPS |
|
|
Machine Translation (F16)
|
100% |
1361
25.0 IPS |
|
|
Machine Translation (I8)
|
70% |
920
16.9 IPS |
