Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench AI Score
27594
Single Precision Score
29839
Half Precision Score
22843
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 01 2025 10:30 AM |
| Views | 6 |
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% |
11336
2.11 KIPS |
|
|
Image Classification (HP)
|
100% |
11654
2.17 KIPS |
|
|
Image Classification (Q)
|
99% |
10151
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14807
240.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13766
223.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13968
227.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
262617
306.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
349880
408.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
235789
276.2 IPS |
|
|
Object Detection (SP)
|
100% |
12412
984.6 IPS |
|
|
Object Detection (HP)
|
99% |
12921
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
11177
897.6 IPS |
|
|
Face Detection (SP)
|
100% |
32709
388.7 IPS |
|
|
Face Detection (HP)
|
100% |
35120
417.3 IPS |
|
|
Face Detection (Q)
|
97% |
29915
356.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
68783
529.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74842
576.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
55441
444.3 IPS |
|
|
Style Transfer (SP)
|
100% |
388934
500.0 IPS |
|
|
Style Transfer (HP)
|
100% |
516897
664.5 IPS |
|
|
Style Transfer (Q)
|
98% |
356313
459.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43421
1.60 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45667
1.69 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33735
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3570
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3549
4.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2403
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3450
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3504
60.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2161
40.5 IPS |
