GEEKOM GT1 Mega
Geekbench AI Score
3173
Single Precision Score
3155
Half Precision Score
8322
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 10 2024 11:07 AM |
| Views | 6 |
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% |
1932
359.2 IPS |
|
|
Image Classification (HP)
|
100% |
1927
358.5 IPS |
|
|
Image Classification (Q)
|
100% |
5219
970.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2711
43.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2533
41.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5189
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4546
5.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
4694
5.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
17651
20.7 IPS |
|
|
Object Detection (SP)
|
100% |
1854
147.1 IPS |
|
|
Object Detection (HP)
|
100% |
1898
150.6 IPS |
|
|
Object Detection (Q)
|
88% |
4825
386.8 IPS |
|
|
Face Detection (SP)
|
100% |
5417
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
5407
64.3 IPS |
|
|
Face Detection (Q)
|
100% |
12395
147.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5738
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5841
45.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
15135
117.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14392
18.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14422
18.5 IPS |
|
|
Style Transfer (Q)
|
98% |
46149
59.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2558
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2514
92.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9416
348.7 IPS |
|
|
Text Classification (SP)
|
100% |
735
980.4 IPS |
|
|
Text Classification (HP)
|
100% |
686
916.2 IPS |
|
|
Text Classification (Q)
|
92% |
3195
4.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2790
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2863
49.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2654
45.7 IPS |
