GETAC F120
Geekbench AI Score
2942
Single Precision Score
2096
Half Precision Score
7603
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 09:29 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 268V |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | GETAC F120 |
| Motherboard | GETAC F120 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 268V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1857
345.4 IPS |
|
|
Image Classification (HP)
|
100% |
1305
242.6 IPS |
|
|
Image Classification (Q)
|
100% |
5184
964.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1100
17.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4498
72.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3129
3.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2065
2.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
10492
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (Q)
|
88% |
5069
406.3 IPS |
|
|
Face Detection (SP)
|
100% |
5386
64.0 IPS |
|
|
Face Detection (HP)
|
100% |
4215
50.1 IPS |
|
|
Face Detection (Q)
|
100% |
12391
147.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4225
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3085
23.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
13043
101.4 IPS |
|
|
Style Transfer (SP)
|
100% |
8472
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
6042
7.77 IPS |
|
|
Style Transfer (Q)
|
98% |
30847
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7189
266.2 IPS |
|
|
Text Classification (SP)
|
100% |
2135
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1438
1.92 KIPS |
|
|
Text Classification (Q)
|
92% |
4418
5.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3352
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2789
48.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3289
56.7 IPS |
