GEEKOM GT1 Mega (DirectML/ONNIX) GEEKOM GT1 Mega
Geekbench AI Score
3544
Single Precision Score
7541
Half Precision Score
2639
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | TechHut |
| Upload Date | October 16 2024 10:16 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
1461
271.6 IPS |
|
|
Image Classification (HP)
|
100% |
4661
866.7 IPS |
|
|
Image Classification (Q)
|
99% |
1311
244.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6946
112.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1399
22.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14265
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
20240
23.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
12238
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1468
116.5 IPS |
|
|
Object Detection (HP)
|
99% |
4943
393.2 IPS |
|
|
Object Detection (Q)
|
89% |
1226
98.1 IPS |
|
|
Face Detection (SP)
|
100% |
1148
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
7834
93.1 IPS |
|
|
Face Detection (Q)
|
97% |
1031
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8167
62.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
21950
169.7 IPS |
|
|
Depth Estimation (Q)
|
76% |
6489
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
44050
56.6 IPS |
|
|
Style Transfer (HP)
|
100% |
63261
81.3 IPS |
|
|
Style Transfer (Q)
|
98% |
32413
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7798
288.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10325
381.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5235
193.9 IPS |
|
|
Text Classification (SP)
|
86% |
902
1.22 KIPS |
|
|
Text Classification (HP)
|
99% |
796
1.06 KIPS |
|
|
Text Classification (Q)
|
83% |
662
901.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2169
37.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2055
35.4 IPS |
|
|
Machine Translation (Q)
|
60% |
794
17.7 IPS |
