GEEKOM GT1 Mega
Geekbench AI Score
3571
Single Precision Score
8878
Half Precision Score
13506
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 09 2025 01:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | GEEKOM GT1 Mega |
| Motherboard | Default string GT1 Mega |
| 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% |
1878
349.3 IPS |
|
|
Image Classification (HP)
|
100% |
6277
1.17 KIPS |
|
|
Image Classification (Q)
|
100% |
8813
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2836
46.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3123
50.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4776
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
30657
35.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
66314
77.7 IPS |
|
|
Object Detection (SP)
|
100% |
2041
161.9 IPS |
|
|
Object Detection (HP)
|
100% |
5467
433.7 IPS |
|
|
Object Detection (Q)
|
87% |
8928
716.6 IPS |
|
|
Face Detection (SP)
|
100% |
6399
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
15541
184.7 IPS |
|
|
Face Detection (Q)
|
100% |
29968
356.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5959
45.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
16738
129.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30766
239.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13306
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
47755
61.4 IPS |
|
|
Style Transfer (Q)
|
98% |
83298
107.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2420
89.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12815
473.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21471
795.2 IPS |
|
|
Text Classification (SP)
|
100% |
2109
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1881
2.51 KIPS |
|
|
Text Classification (Q)
|
92% |
1895
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2510
43.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3920
67.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3968
68.3 IPS |
