GETAC B360G3
Geekbench AI Score
4144
Single Precision Score
4140
Half Precision Score
11276
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 09 2025 02:11 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC B360G3 |
| Motherboard | GETAC B360G3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2675
497.6 IPS |
|
|
Image Classification (HP)
|
100% |
2898
538.9 IPS |
|
|
Image Classification (Q)
|
100% |
8550
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3152
51.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1687
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7884
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4357
5.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
4785
5.58 IPS |
|
|
Pose Estimation (Q)
|
96% |
20180
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
2340
185.6 IPS |
|
|
Object Detection (HP)
|
100% |
2715
215.3 IPS |
|
|
Object Detection (Q)
|
88% |
7941
636.6 IPS |
|
|
Face Detection (SP)
|
100% |
7152
85.0 IPS |
|
|
Face Detection (HP)
|
100% |
7497
89.1 IPS |
|
|
Face Detection (Q)
|
100% |
17713
210.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6093
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6514
50.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
19133
148.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15758
20.3 IPS |
|
|
Style Transfer (HP)
|
100% |
14076
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
60121
77.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2740
101.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3022
111.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10997
407.3 IPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2553
3.41 KIPS |
|
|
Text Classification (Q)
|
92% |
4896
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3124
53.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2805
48.3 IPS |
