GETAC F120
Geekbench AI Score
10959
Single Precision Score
26752
Half Precision Score
30178
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 09:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
7235
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
13234
2.46 KIPS |
|
|
Image Classification (Q)
|
100% |
17238
3.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9887
160.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26259
425.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30476
494.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
22677
26.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
131771
153.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
258248
302.3 IPS |
|
|
Object Detection (SP)
|
100% |
6561
520.4 IPS |
|
|
Object Detection (HP)
|
100% |
14479
1.15 KIPS |
|
|
Object Detection (Q)
|
88% |
15497
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
14695
174.6 IPS |
|
|
Face Detection (HP)
|
100% |
33075
393.0 IPS |
|
|
Face Detection (Q)
|
100% |
43299
514.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23455
180.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
58006
446.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
66242
515.1 IPS |
|
|
Style Transfer (SP)
|
100% |
52822
67.9 IPS |
|
|
Style Transfer (HP)
|
100% |
151713
195.0 IPS |
|
|
Style Transfer (Q)
|
98% |
163031
210.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9736
359.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26993
996.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30357
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3896
5.20 KIPS |
|
|
Text Classification (HP)
|
100% |
5034
6.72 KIPS |
|
|
Text Classification (Q)
|
92% |
2930
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
3402
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7162
123.8 IPS |
|
|
Machine Translation (Q)
|
100% |
7166
123.4 IPS |
