GEEKOM GT1 Mega (CPU/ONNX) GEEKOM GT1 Mega
Geekbench AI Score
3106
Single Precision Score
1368
Half Precision Score
4139
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechHut |
| Upload Date | October 16 2024 10:06 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1820
338.5 IPS |
|
|
Image Classification (HP)
|
100% |
463
86.1 IPS |
|
|
Image Classification (Q)
|
99% |
3490
651.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1548
25.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2785
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5951
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
4068
4.75 IPS |
|
|
Pose Estimation (Q)
|
95% |
21552
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2067
164.0 IPS |
|
|
Object Detection (HP)
|
100% |
575
45.6 IPS |
|
|
Object Detection (Q)
|
88% |
1909
153.0 IPS |
|
|
Face Detection (SP)
|
100% |
3685
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
4105
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6722
51.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1904
14.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
8233
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14285
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10125
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
20683
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4270
158.1 IPS |
|
|
Text Classification (SP)
|
100% |
1439
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
661
882.9 IPS |
|
|
Text Classification (Q)
|
97% |
569
761.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1819
31.3 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2176
48.5 IPS |
