GETAC F120
Geekbench AI Score
3120
Single Precision Score
19795
Half Precision Score
28656
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 09:36 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
1910
355.3 IPS |
|
|
Image Classification (HP)
|
100% |
7932
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
11036
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19485
315.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
29187
473.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3288
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
108331
126.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
200484
234.8 IPS |
|
|
Object Detection (SP)
|
100% |
1786
141.7 IPS |
|
|
Object Detection (HP)
|
100% |
12113
960.8 IPS |
|
|
Object Detection (Q)
|
87% |
15308
1.23 KIPS |
|
|
Face Detection (SP)
|
100% |
5598
66.5 IPS |
|
|
Face Detection (HP)
|
100% |
32413
385.1 IPS |
|
|
Face Detection (Q)
|
100% |
69783
829.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4603
35.5 IPS |
|
|
Depth Estimation (HP)
|
93% |
68685
532.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
109874
855.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9656
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
211206
271.5 IPS |
|
|
Style Transfer (Q)
|
98% |
310867
400.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1998
73.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23855
880.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34797
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2173
2.90 KIPS |
|
|
Text Classification (HP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
1408
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3279
56.5 IPS |
|
|
Machine Translation (Q)
|
100% |
3235
55.7 IPS |
