GETAC B360G3
Geekbench AI Score
4031
Single Precision Score
4361
Half Precision Score
10001
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 11 2025 01:29 AM |
| Views | 6 |
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% |
2087
388.1 IPS |
|
|
Image Classification (HP)
|
100% |
3005
558.9 IPS |
|
|
Image Classification (Q)
|
100% |
6792
1.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3255
52.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2033
33.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
6808
110.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5931
6.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5575
6.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
21679
25.4 IPS |
|
|
Object Detection (SP)
|
100% |
2184
173.3 IPS |
|
|
Object Detection (HP)
|
100% |
2830
224.5 IPS |
|
|
Object Detection (Q)
|
88% |
6874
551.0 IPS |
|
|
Face Detection (SP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
8141
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
14951
177.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6423
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6678
51.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
17330
134.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16123
20.7 IPS |
|
|
Style Transfer (HP)
|
100% |
15797
20.3 IPS |
|
|
Style Transfer (Q)
|
98% |
58311
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3024
111.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3509
129.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10769
398.8 IPS |
|
|
Text Classification (SP)
|
100% |
2499
3.34 KIPS |
|
|
Text Classification (HP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
3695
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2393
41.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2418
41.7 IPS |
