GETAC B360G3
Geekbench AI Score
4058
Single Precision Score
9395
Half Precision Score
13768
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:44 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
2165
402.6 IPS |
|
|
Image Classification (HP)
|
100% |
6504
1.21 KIPS |
|
|
Image Classification (Q)
|
56% |
5822
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3262
52.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2959
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3904
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5940
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
34029
39.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
73909
86.6 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.6 IPS |
|
|
Object Detection (HP)
|
100% |
6022
477.7 IPS |
|
|
Object Detection (Q)
|
87% |
9897
794.3 IPS |
|
|
Face Detection (SP)
|
100% |
6764
80.4 IPS |
|
|
Face Detection (HP)
|
100% |
15593
185.3 IPS |
|
|
Face Detection (Q)
|
100% |
28051
333.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6256
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
17470
134.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
34542
268.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16354
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
52261
67.2 IPS |
|
|
Style Transfer (Q)
|
98% |
93837
121.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3042
112.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13978
516.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22572
835.9 IPS |
|
|
Text Classification (SP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1619
2.16 KIPS |
|
|
Text Classification (Q)
|
92% |
1707
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2464
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4220
72.7 IPS |
|
|
Machine Translation (Q)
|
100% |
4202
72.4 IPS |
