GETAC V120
Geekbench AI Score
3578
Single Precision Score
4075
Half Precision Score
9999
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 08:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC V120 |
| Motherboard | GETAC V120 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235H |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2741
509.7 IPS |
|
|
Image Classification (HP)
|
100% |
1746
324.8 IPS |
|
|
Image Classification (Q)
|
100% |
6186
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3235
52.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7613
123.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4155
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
4902
5.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
20181
23.6 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
100% |
2037
161.6 IPS |
|
|
Object Detection (Q)
|
88% |
7822
627.0 IPS |
|
|
Face Detection (SP)
|
100% |
6931
82.4 IPS |
|
|
Face Detection (HP)
|
100% |
9366
111.3 IPS |
|
|
Face Detection (Q)
|
100% |
15481
183.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6594
50.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6797
52.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
17011
132.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14348
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12549
16.1 IPS |
|
|
Style Transfer (Q)
|
98% |
41052
52.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1765
65.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3189
117.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8379
310.3 IPS |
|
|
Text Classification (SP)
|
100% |
1982
2.65 KIPS |
|
|
Text Classification (HP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (Q)
|
92% |
5049
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4814
82.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2940
50.6 IPS |
