GEEKOM GT1 Mega
Geekbench AI Score
4971
Single Precision Score
8073
Half Precision Score
3555
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 26 2025 12:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM GT1 Mega |
| Motherboard | Default string GT1 Mega |
| Power Plan | Balanced |
| 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 | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2650
492.8 IPS |
|
|
Image Classification (HP)
|
100% |
4949
920.4 IPS |
|
|
Image Classification (Q)
|
100% |
2280
424.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3038
49.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7656
124.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2527
41.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13141
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19674
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11698
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
2890
229.2 IPS |
|
|
Object Detection (HP)
|
99% |
5799
461.3 IPS |
|
|
Object Detection (Q)
|
86% |
2225
178.9 IPS |
|
|
Face Detection (SP)
|
100% |
4461
53.0 IPS |
|
|
Face Detection (HP)
|
100% |
9119
108.4 IPS |
|
|
Face Detection (Q)
|
97% |
3417
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10867
83.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
21328
164.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
8182
65.7 IPS |
|
|
Style Transfer (SP)
|
100% |
43627
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
69631
89.5 IPS |
|
|
Style Transfer (Q)
|
98% |
30815
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7422
274.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12205
450.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4047
149.9 IPS |
|
|
Text Classification (SP)
|
86% |
870
1.18 KIPS |
|
|
Text Classification (HP)
|
99% |
733
977.8 IPS |
|
|
Text Classification (Q)
|
84% |
618
838.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2208
38.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2246
38.7 IPS |
|
|
Machine Translation (Q)
|
70% |
999
18.7 IPS |
