GETAC B360G3
Geekbench AI Score
4225
Single Precision Score
4211
Half Precision Score
11155
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 09 2025 02:23 AM |
| Views | 4 |
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% |
2550
474.1 IPS |
|
|
Image Classification (HP)
|
100% |
2804
521.4 IPS |
|
|
Image Classification (Q)
|
100% |
7320
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3380
54.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8202
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5268
6.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
4997
5.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
20829
24.4 IPS |
|
|
Object Detection (SP)
|
100% |
2285
181.2 IPS |
|
|
Object Detection (HP)
|
100% |
2820
223.7 IPS |
|
|
Object Detection (Q)
|
88% |
9497
761.3 IPS |
|
|
Face Detection (SP)
|
100% |
6490
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
8093
96.2 IPS |
|
|
Face Detection (Q)
|
100% |
16872
200.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6135
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
6586
50.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
18835
146.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15473
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14211
18.3 IPS |
|
|
Style Transfer (Q)
|
98% |
58393
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3071
113.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3164
116.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11470
424.8 IPS |
|
|
Text Classification (SP)
|
100% |
3176
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (Q)
|
92% |
4457
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4513
77.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2649
45.6 IPS |
