GEEKOM GT1 Mega
Geekbench AI Score
7587
Single Precision Score
12631
Half Precision Score
19809
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 04:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5579
1.04 KIPS |
|
|
Image Classification (HP)
|
100% |
8867
1.65 KIPS |
|
|
Image Classification (Q)
|
100% |
10798
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3953
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10157
164.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16173
262.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
21348
24.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
21156
24.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
78261
91.6 IPS |
|
|
Object Detection (SP)
|
100% |
4967
394.0 IPS |
|
|
Object Detection (HP)
|
100% |
9263
734.7 IPS |
|
|
Object Detection (Q)
|
88% |
13569
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
8759
104.1 IPS |
|
|
Face Detection (HP)
|
100% |
17202
204.4 IPS |
|
|
Face Detection (Q)
|
100% |
31384
372.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16026
123.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
30042
232.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
36795
286.0 IPS |
|
|
Style Transfer (SP)
|
100% |
51940
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
69716
89.6 IPS |
|
|
Style Transfer (Q)
|
98% |
179262
231.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8419
310.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15245
562.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23164
857.9 IPS |
|
|
Text Classification (SP)
|
71% |
1737
2.51 KIPS |
|
|
Text Classification (HP)
|
71% |
2665
3.85 KIPS |
|
|
Text Classification (Q)
|
92% |
2588
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
2537
43.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4004
69.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4043
69.9 IPS |
