GEEKOM GT2 Mega
Geekbench AI Score
7360
Single Precision Score
10865
Half Precision Score
4964
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 26 2025 12:44 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140T GPU (16GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GEEKOM GT2 Mega |
| Motherboard | Geekom GT2 Mega |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4729
879.5 IPS |
|
|
Image Classification (HP)
|
100% |
5678
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
3578
667.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
5538
89.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10392
168.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3708
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16599
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
23935
27.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12622
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
4909
389.4 IPS |
|
|
Object Detection (HP)
|
100% |
6311
500.6 IPS |
|
|
Object Detection (Q)
|
84% |
3762
303.7 IPS |
|
|
Face Detection (SP)
|
100% |
6780
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
12562
149.3 IPS |
|
|
Face Detection (Q)
|
97% |
4870
58.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17623
135.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
31198
240.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
13020
104.3 IPS |
|
|
Style Transfer (SP)
|
100% |
57256
73.6 IPS |
|
|
Style Transfer (HP)
|
100% |
105067
135.1 IPS |
|
|
Style Transfer (Q)
|
98% |
37483
48.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9105
336.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15488
571.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5552
205.6 IPS |
|
|
Text Classification (SP)
|
100% |
1359
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1453
1.94 KIPS |
|
|
Text Classification (Q)
|
97% |
885
1.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2585
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2778
47.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1235
23.2 IPS |
