GETAC B360G3
Geekbench AI Score
4180
Single Precision Score
9462
Half Precision Score
13977
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:39 AM |
| Views | 3 |
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% |
2802
521.1 IPS |
|
|
Image Classification (HP)
|
100% |
6713
1.25 KIPS |
|
|
Image Classification (Q)
|
56% |
6046
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3242
52.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2969
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3924
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5979
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
33478
39.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
73698
86.3 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
6105
484.2 IPS |
|
|
Object Detection (Q)
|
87% |
9995
802.1 IPS |
|
|
Face Detection (SP)
|
100% |
6891
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
15945
189.5 IPS |
|
|
Face Detection (Q)
|
100% |
29003
344.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6311
48.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
17460
134.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34728
270.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16176
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
52072
66.9 IPS |
|
|
Style Transfer (Q)
|
98% |
94503
121.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3043
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13931
514.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22340
827.3 IPS |
|
|
Text Classification (SP)
|
100% |
2566
3.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1650
2.20 KIPS |
|
|
Text Classification (Q)
|
92% |
1811
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4239
73.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4231
72.9 IPS |
