GEEKOM GT1 Mega
Geekbench AI Score
3270
Single Precision Score
1480
Half Precision Score
4327
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 10 2024 10:53 AM |
| Views | 5 |
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% |
1907
354.6 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
99% |
3518
656.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1068
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3020
49.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6105
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4045
4.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
22953
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2139
169.6 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.8 IPS |
|
|
Object Detection (Q)
|
88% |
1950
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
1600
19.0 IPS |
|
|
Face Detection (Q)
|
97% |
4352
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7082
54.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2195
16.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
8591
68.8 IPS |
|
|
Style Transfer (SP)
|
100% |
14486
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10135
13.0 IPS |
|
|
Style Transfer (Q)
|
98% |
21033
27.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1977
73.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4413
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
1595
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
692
924.2 IPS |
|
|
Text Classification (Q)
|
97% |
588
788.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2011
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2376
53.0 IPS |
