Micro Computer (HK) Tech Limited AtomMan
Geekbench ML Score
2961
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 18 2024 10:57 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 |
| L3 Cache | 24.0 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% |
1492
279.1 IPS |
|
|
Image Classification (F16)
|
100% |
1531
286.5 IPS |
|
|
Image Classification (I8)
|
99% |
2637
493.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
1302
21.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1154
19.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1803
30.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6041
7.32 IPS |
|
|
Pose Estimation (F16)
|
100% |
5907
7.15 IPS |
|
|
Pose Estimation (I8)
|
100% |
21420
25.9 IPS |
|
|
Object Detection (F32)
|
100% |
1327
99.1 IPS |
|
|
Object Detection (F16)
|
100% |
1522
113.6 IPS |
|
|
Object Detection (I8)
|
62% |
1329
99.3 IPS |
|
|
Face Detection (F32)
|
100% |
3563
42.4 IPS |
|
|
Face Detection (F16)
|
100% |
3441
40.9 IPS |
|
|
Face Detection (I8)
|
89% |
3919
46.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5776
44.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
5709
44.3 IPS |
|
|
Depth Estimation (I8)
|
96% |
12152
94.2 IPS |
|
|
Style Transfer (F32)
|
100% |
13835
18.2 IPS |
|
|
Style Transfer (F16)
|
100% |
14116
18.6 IPS |
|
|
Style Transfer (I8)
|
98% |
18049
23.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2729
97.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2750
98.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3737
133.5 IPS |
|
|
Text Classification (F32)
|
100% |
1028
1.48 KIPS |
|
|
Text Classification (F16)
|
100% |
1052
1.51 KIPS |
|
|
Text Classification (I8)
|
98% |
348
499.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1585
29.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1585
29.2 IPS |
|
|
Machine Translation (I8)
|
67% |
2331
42.9 IPS |
