GETAC V120
Geekbench AI Score
4851
Single Precision Score
4499
Half Precision Score
11775
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | September 09 2025 02:23 AM |
| Views | 3 |
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% |
3502
651.3 IPS |
|
|
Image Classification (HP)
|
100% |
3013
560.3 IPS |
|
|
Image Classification (Q)
|
100% |
8396
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4124
66.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2167
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8534
138.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5780
6.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4923
5.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
18817
22.0 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
100% |
2696
213.9 IPS |
|
|
Object Detection (Q)
|
88% |
9155
733.8 IPS |
|
|
Face Detection (SP)
|
100% |
8944
106.3 IPS |
|
|
Face Detection (HP)
|
100% |
9507
113.0 IPS |
|
|
Face Detection (Q)
|
100% |
18123
215.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7390
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7229
55.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
21636
168.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15888
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14835
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
57940
74.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3347
123.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3597
132.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12703
470.4 IPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2142
2.86 KIPS |
|
|
Text Classification (Q)
|
92% |
5005
6.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4993
86.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2874
49.5 IPS |
