GEEKOM GT1 Mega (CPU/OpenVINO) GEEKOM GT1 Mega
Geekbench AI Score
3065
Single Precision Score
3022
Half Precision Score
7674
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechHut |
| Upload Date | October 16 2024 10:21 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 185H |
| 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% |
1833
340.9 IPS |
|
|
Image Classification (HP)
|
100% |
1846
343.3 IPS |
|
|
Image Classification (Q)
|
100% |
5009
931.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2820
45.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5254
85.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4895
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4920
5.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
16950
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1726
136.9 IPS |
|
|
Object Detection (HP)
|
100% |
1687
133.8 IPS |
|
|
Object Detection (Q)
|
88% |
4961
397.7 IPS |
|
|
Face Detection (SP)
|
100% |
5239
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
4858
57.7 IPS |
|
|
Face Detection (Q)
|
100% |
10193
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5249
40.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4974
38.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
11353
88.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12825
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13108
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
45585
58.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2512
92.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8557
316.9 IPS |
|
|
Text Classification (SP)
|
100% |
764
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
781
1.04 KIPS |
|
|
Text Classification (Q)
|
92% |
3137
4.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2455
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2372
40.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2262
39.0 IPS |
