GETAC B360G3
Geekbench AI Score
3858
Single Precision Score
3640
Half Precision Score
10180
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 09 2025 02:18 AM |
| Views | 3 |
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% |
1862
346.3 IPS |
|
|
Image Classification (HP)
|
100% |
1938
360.4 IPS |
|
|
Image Classification (Q)
|
100% |
6055
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3095
50.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1623
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7298
118.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4612
5.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
3965
4.63 IPS |
|
|
Pose Estimation (Q)
|
96% |
18277
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
1850
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (Q)
|
88% |
5913
474.0 IPS |
|
|
Face Detection (SP)
|
100% |
6579
78.2 IPS |
|
|
Face Detection (HP)
|
100% |
6070
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
14240
169.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6425
49.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6766
52.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
19016
147.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14739
18.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14125
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
56040
72.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2972
109.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3083
113.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12521
463.7 IPS |
|
|
Text Classification (SP)
|
100% |
2757
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (Q)
|
92% |
5043
6.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2915
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4336
74.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2613
45.0 IPS |
