GETAC F120
Geekbench AI Score
3006
Single Precision Score
20181
Half Precision Score
30544
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 09:47 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% |
1897
352.7 IPS |
|
|
Image Classification (HP)
|
100% |
8293
1.54 KIPS |
|
|
Image Classification (Q)
|
100% |
12365
2.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2078
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18309
296.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
30868
500.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3212
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
109091
127.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
217780
255.1 IPS |
|
|
Object Detection (SP)
|
100% |
1748
138.7 IPS |
|
|
Object Detection (HP)
|
100% |
14832
1.18 KIPS |
|
|
Object Detection (Q)
|
87% |
17852
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
5627
66.9 IPS |
|
|
Face Detection (HP)
|
100% |
30687
364.6 IPS |
|
|
Face Detection (Q)
|
100% |
64878
770.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4415
34.0 IPS |
|
|
Depth Estimation (HP)
|
93% |
67581
523.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
123246
959.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8346
10.7 IPS |
|
|
Style Transfer (HP)
|
100% |
195268
251.0 IPS |
|
|
Style Transfer (Q)
|
98% |
347312
447.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1827
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26140
965.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
37282
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1335
1.78 KIPS |
|
|
Text Classification (Q)
|
92% |
1464
1.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3228
55.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3143
54.1 IPS |
