Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench AI Score
28123
Single Precision Score
31890
Half Precision Score
22807
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 13 2025 08:45 PM |
| Views | 12 |
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% |
11102
2.06 KIPS |
|
|
Image Classification (HP)
|
100% |
11089
2.06 KIPS |
|
|
Image Classification (Q)
|
99% |
9741
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14981
242.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14092
228.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13760
223.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
268241
313.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
442153
515.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
240415
281.6 IPS |
|
|
Object Detection (SP)
|
100% |
11942
947.2 IPS |
|
|
Object Detection (HP)
|
99% |
12878
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
10692
858.7 IPS |
|
|
Face Detection (SP)
|
100% |
33275
395.4 IPS |
|
|
Face Detection (HP)
|
100% |
35827
425.7 IPS |
|
|
Face Detection (Q)
|
97% |
30694
366.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
71013
547.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87548
674.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
57050
457.2 IPS |
|
|
Style Transfer (SP)
|
100% |
405367
521.1 IPS |
|
|
Style Transfer (HP)
|
100% |
584737
751.7 IPS |
|
|
Style Transfer (Q)
|
98% |
360505
464.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44512
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54126
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35117
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4061
5.42 KIPS |
|
|
Text Classification (HP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2419
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3463
59.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2061
38.7 IPS |
