GEEKOM GT1 Mega (GPU/OpenVINO) GEEKOM GT1 Mega
Geekbench AI Score
8270
Single Precision Score
12752
Half Precision Score
19383
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechHut |
| Upload Date | October 16 2024 10:26 PM |
| Views | 7 |
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% |
5632
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
8471
1.58 KIPS |
|
|
Image Classification (Q)
|
100% |
10129
1.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4472
72.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10832
175.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16787
272.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
23334
27.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
22957
26.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
75325
88.2 IPS |
|
|
Object Detection (SP)
|
100% |
5278
418.7 IPS |
|
|
Object Detection (HP)
|
100% |
8634
684.8 IPS |
|
|
Object Detection (Q)
|
88% |
12224
979.6 IPS |
|
|
Face Detection (SP)
|
100% |
8990
106.8 IPS |
|
|
Face Detection (HP)
|
100% |
18175
216.0 IPS |
|
|
Face Detection (Q)
|
100% |
31110
369.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19491
150.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
34209
264.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
41417
321.9 IPS |
|
|
Style Transfer (SP)
|
100% |
56628
72.8 IPS |
|
|
Style Transfer (HP)
|
100% |
74717
96.1 IPS |
|
|
Style Transfer (Q)
|
98% |
170101
219.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8863
327.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16085
594.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24109
892.9 IPS |
|
|
Text Classification (SP)
|
71% |
2105
3.04 KIPS |
|
|
Text Classification (HP)
|
71% |
2535
3.67 KIPS |
|
|
Text Classification (Q)
|
92% |
2731
3.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2607
44.9 IPS |
|
|
Machine Translation (HP)
|
96% |
3303
57.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3314
57.1 IPS |
