Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench AI Score
28229
Single Precision Score
32364
Half Precision Score
23284
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 13 2025 08:49 PM |
| Views | 10 |
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% |
11152
2.07 KIPS |
|
|
Image Classification (HP)
|
100% |
11464
2.13 KIPS |
|
|
Image Classification (Q)
|
99% |
9802
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15037
243.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14146
229.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14044
228.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
270862
316.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
440768
514.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
239908
281.0 IPS |
|
|
Object Detection (SP)
|
100% |
11972
949.7 IPS |
|
|
Object Detection (HP)
|
99% |
12921
1.02 KIPS |
|
|
Object Detection (Q)
|
87% |
10676
857.4 IPS |
|
|
Face Detection (SP)
|
100% |
33249
395.1 IPS |
|
|
Face Detection (HP)
|
100% |
35723
424.5 IPS |
|
|
Face Detection (Q)
|
97% |
30497
363.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
70299
541.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
87222
672.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
57011
456.9 IPS |
|
|
Style Transfer (SP)
|
100% |
404561
520.1 IPS |
|
|
Style Transfer (HP)
|
100% |
582033
748.2 IPS |
|
|
Style Transfer (Q)
|
98% |
363147
468.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44545
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53602
1.98 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35106
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
4025
5.37 KIPS |
|
|
Text Classification (HP)
|
100% |
3926
5.24 KIPS |
|
|
Text Classification (Q)
|
97% |
2680
3.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2237
41.9 IPS |
