Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench AI Score
27863
Single Precision Score
30566
Half Precision Score
23082
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 02 2025 06:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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 |
| Power Plan | High performance |
| 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 |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11705
2.18 KIPS |
|
|
Image Classification (HP)
|
100% |
12147
2.26 KIPS |
|
|
Image Classification (Q)
|
99% |
10400
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14288
231.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
13501
218.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13391
217.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
264534
308.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
349231
407.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
235485
275.8 IPS |
|
|
Object Detection (SP)
|
100% |
12599
999.3 IPS |
|
|
Object Detection (HP)
|
99% |
13342
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
11354
911.9 IPS |
|
|
Face Detection (SP)
|
100% |
32720
388.8 IPS |
|
|
Face Detection (HP)
|
100% |
34351
408.2 IPS |
|
|
Face Detection (Q)
|
97% |
30146
359.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
69311
534.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
81942
631.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
55857
447.6 IPS |
|
|
Style Transfer (SP)
|
100% |
393431
505.8 IPS |
|
|
Style Transfer (HP)
|
100% |
526468
676.8 IPS |
|
|
Style Transfer (Q)
|
98% |
360321
464.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43939
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49649
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34904
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3914
5.22 KIPS |
|
|
Text Classification (HP)
|
100% |
3821
5.10 KIPS |
|
|
Text Classification (Q)
|
97% |
2585
3.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3298
56.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3314
57.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2106
39.5 IPS |
