GETAC V120
Geekbench AI Score
4749
Single Precision Score
4538
Half Precision Score
11275
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 09 2025 01:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265H |
| 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 7 265H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 197 Stepping 2 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3558
661.6 IPS |
|
|
Image Classification (HP)
|
100% |
3841
714.4 IPS |
|
|
Image Classification (Q)
|
100% |
9142
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4044
65.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2251
36.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8588
139.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5809
6.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
4978
5.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
18927
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
2629
208.6 IPS |
|
|
Object Detection (Q)
|
88% |
6808
545.7 IPS |
|
|
Face Detection (SP)
|
100% |
8702
103.4 IPS |
|
|
Face Detection (HP)
|
100% |
9810
116.6 IPS |
|
|
Face Detection (Q)
|
100% |
15843
188.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6830
52.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5678
43.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
17295
134.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15452
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
12812
16.5 IPS |
|
|
Style Transfer (Q)
|
98% |
58635
75.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2921
107.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3421
126.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12558
465.1 IPS |
|
|
Text Classification (SP)
|
100% |
3173
4.23 KIPS |
|
|
Text Classification (HP)
|
100% |
2670
3.56 KIPS |
|
|
Text Classification (Q)
|
92% |
4942
6.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3354
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5026
86.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3292
56.7 IPS |
