GETAC V120
Geekbench AI Score
2538
Single Precision Score
1159
Half Precision Score
5133
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 18 2025 11:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1849
343.8 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
99% |
4448
829.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1008
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
765
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
6080
98.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4194
4.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3282
3.83 IPS |
|
|
Pose Estimation (Q)
|
94% |
15537
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
1643
130.4 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.5 IPS |
|
|
Object Detection (Q)
|
86% |
4462
358.6 IPS |
|
|
Face Detection (SP)
|
100% |
5347
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (Q)
|
97% |
5483
65.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5209
40.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1620
12.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
10355
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10672
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8089
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
16379
21.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2003
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1579
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3663
135.6 IPS |
|
|
Text Classification (SP)
|
100% |
1063
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.4 IPS |
|
|
Text Classification (Q)
|
97% |
946
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
660
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2103
42.3 IPS |
