GETAC B360G3
Geekbench AI Score
4053
Single Precision Score
9492
Half Precision Score
13983
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:38 AM |
| Views | 6 |
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% |
2055
382.2 IPS |
|
|
Image Classification (HP)
|
100% |
6514
1.21 KIPS |
|
|
Image Classification (Q)
|
56% |
5871
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2964
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3917
63.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5936
6.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
33915
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74013
86.7 IPS |
|
|
Object Detection (SP)
|
100% |
2190
173.7 IPS |
|
|
Object Detection (HP)
|
100% |
6099
483.8 IPS |
|
|
Object Detection (Q)
|
87% |
9897
794.3 IPS |
|
|
Face Detection (SP)
|
100% |
6944
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
15853
188.4 IPS |
|
|
Face Detection (Q)
|
100% |
28509
338.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6334
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
17118
131.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
34729
270.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16225
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
52225
67.1 IPS |
|
|
Style Transfer (Q)
|
98% |
95362
123.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3048
112.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13985
516.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22612
837.4 IPS |
|
|
Text Classification (SP)
|
100% |
2628
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1854
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2458
42.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4286
73.8 IPS |
