Micro Computer (HK) Tech Limited AtomMan X Series
Geekbench AI Score
28285
Single Precision Score
32207
Half Precision Score
23167
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 13 2025 08:51 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% |
11932
2.22 KIPS |
|
|
Image Classification (HP)
|
100% |
12366
2.30 KIPS |
|
|
Image Classification (Q)
|
99% |
10642
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14680
238.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13841
224.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
13769
223.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
270141
315.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
438439
511.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
239029
280.0 IPS |
|
|
Object Detection (SP)
|
100% |
12674
1.01 KIPS |
|
|
Object Detection (HP)
|
99% |
13466
1.07 KIPS |
|
|
Object Detection (Q)
|
87% |
11466
920.9 IPS |
|
|
Face Detection (SP)
|
100% |
33128
393.6 IPS |
|
|
Face Detection (HP)
|
100% |
35611
423.1 IPS |
|
|
Face Detection (Q)
|
97% |
30476
363.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
70222
541.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
86758
668.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
56625
453.8 IPS |
|
|
Style Transfer (SP)
|
100% |
397487
511.0 IPS |
|
|
Style Transfer (HP)
|
100% |
575897
740.3 IPS |
|
|
Style Transfer (Q)
|
98% |
355037
457.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43730
1.61 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51884
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33477
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2426
3.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3448
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3565
61.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2229
41.8 IPS |
