GETAC V120
Geekbench AI Score
4041
Single Precision Score
9741
Half Precision Score
14329
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 08:19 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
2832
526.6 IPS |
|
|
Image Classification (HP)
|
100% |
6733
1.25 KIPS |
|
|
Image Classification (Q)
|
100% |
9733
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3415
55.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2813
45.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3542
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4709
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
32052
37.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
43763
51.3 IPS |
|
|
Object Detection (SP)
|
100% |
1875
148.7 IPS |
|
|
Object Detection (HP)
|
100% |
6171
489.5 IPS |
|
|
Object Detection (Q)
|
87% |
10251
822.7 IPS |
|
|
Face Detection (SP)
|
100% |
5776
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
18007
214.0 IPS |
|
|
Face Detection (Q)
|
100% |
34249
406.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6507
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
18405
141.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
33528
260.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14830
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
49755
64.0 IPS |
|
|
Style Transfer (Q)
|
98% |
95767
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2799
103.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14231
525.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24217
896.9 IPS |
|
|
Text Classification (SP)
|
100% |
3168
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
92% |
2131
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2757
47.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4177
72.0 IPS |
|
|
Machine Translation (Q)
|
100% |
4158
71.6 IPS |
