GETAC B360G3
Geekbench AI Score
4412
Single Precision Score
4263
Half Precision Score
11406
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 09 2025 02:04 AM |
| Views | 5 |
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% |
2615
486.4 IPS |
|
|
Image Classification (HP)
|
100% |
2855
530.9 IPS |
|
|
Image Classification (Q)
|
100% |
7536
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3948
64.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8203
133.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5261
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4997
5.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
20365
23.9 IPS |
|
|
Object Detection (SP)
|
100% |
2437
193.3 IPS |
|
|
Object Detection (HP)
|
100% |
2894
229.6 IPS |
|
|
Object Detection (Q)
|
88% |
9354
749.8 IPS |
|
|
Face Detection (SP)
|
100% |
7303
86.8 IPS |
|
|
Face Detection (HP)
|
100% |
7939
94.3 IPS |
|
|
Face Detection (Q)
|
100% |
18041
214.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6522
50.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
6173
47.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
19090
148.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15471
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14097
18.1 IPS |
|
|
Style Transfer (Q)
|
98% |
61015
78.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3185
117.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3112
114.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11274
417.5 IPS |
|
|
Text Classification (SP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
2437
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
4405
5.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3079
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4418
76.1 IPS |
|
|
Machine Translation (Q)
|
100% |
3034
52.3 IPS |
