GETAC V120
Geekbench AI Score
4329
Single Precision Score
4348
Half Precision Score
10986
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 10 2025 08:22 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% |
2951
548.7 IPS |
|
|
Image Classification (HP)
|
100% |
3296
612.9 IPS |
|
|
Image Classification (Q)
|
100% |
8165
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3460
56.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7521
121.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5457
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
21172
24.8 IPS |
|
|
Object Detection (SP)
|
100% |
2235
177.3 IPS |
|
|
Object Detection (HP)
|
100% |
2761
219.0 IPS |
|
|
Object Detection (Q)
|
88% |
7939
636.4 IPS |
|
|
Face Detection (SP)
|
100% |
6871
81.6 IPS |
|
|
Face Detection (HP)
|
100% |
8821
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
14896
177.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6568
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
7115
54.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
19645
152.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14892
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
14448
18.6 IPS |
|
|
Style Transfer (Q)
|
98% |
61616
79.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3116
115.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12236
453.1 IPS |
|
|
Text Classification (SP)
|
100% |
3365
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2774
3.70 KIPS |
|
|
Text Classification (Q)
|
92% |
5063
6.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2637
45.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4679
80.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2222
38.3 IPS |
