GETAC V120
Geekbench AI Score
4149
Single Precision Score
4371
Half Precision Score
10631
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 08:34 AM |
| Views | 2 |
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% |
3034
564.2 IPS |
|
|
Image Classification (HP)
|
100% |
3332
619.6 IPS |
|
|
Image Classification (Q)
|
100% |
8162
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3440
55.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2000
32.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7554
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5617
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
4937
5.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
18656
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2271
180.2 IPS |
|
|
Object Detection (HP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (Q)
|
88% |
7144
572.7 IPS |
|
|
Face Detection (SP)
|
100% |
6894
81.9 IPS |
|
|
Face Detection (HP)
|
100% |
8702
103.4 IPS |
|
|
Face Detection (Q)
|
100% |
15312
181.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6500
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7240
55.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19046
148.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14633
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14139
18.2 IPS |
|
|
Style Transfer (Q)
|
98% |
52768
68.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2151
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2512
92.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12170
450.7 IPS |
|
|
Text Classification (SP)
|
100% |
3003
4.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2780
3.71 KIPS |
|
|
Text Classification (Q)
|
92% |
5179
6.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2685
46.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4734
81.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2315
39.9 IPS |
