GETAC B360G3
Geekbench AI Score
4212
Single Precision Score
9657
Half Precision Score
13893
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:41 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% |
2814
523.3 IPS |
|
|
Image Classification (HP)
|
100% |
6654
1.24 KIPS |
|
|
Image Classification (Q)
|
56% |
6064
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3294
53.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2978
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3946
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5946
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
33923
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
72164
84.5 IPS |
|
|
Object Detection (SP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (HP)
|
100% |
6108
484.5 IPS |
|
|
Object Detection (Q)
|
87% |
10026
804.7 IPS |
|
|
Face Detection (SP)
|
100% |
6774
80.5 IPS |
|
|
Face Detection (HP)
|
100% |
16655
197.9 IPS |
|
|
Face Detection (Q)
|
100% |
28510
338.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6379
49.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18073
139.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34531
268.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16492
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
51497
66.2 IPS |
|
|
Style Transfer (Q)
|
98% |
92670
119.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3098
114.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14007
517.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22601
837.0 IPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (Q)
|
92% |
1791
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
2583
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4225
72.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4192
72.2 IPS |
