GETAC F120
Geekbench AI Score
2700
Single Precision Score
1287
Half Precision Score
5457
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 09:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1868
347.3 IPS |
|
|
Image Classification (HP)
|
100% |
451
83.8 IPS |
|
|
Image Classification (Q)
|
99% |
4360
813.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
5329
86.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3999
4.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2993
3.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
14126
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1835
145.6 IPS |
|
|
Object Detection (HP)
|
100% |
651
51.7 IPS |
|
|
Object Detection (Q)
|
86% |
3876
311.5 IPS |
|
|
Face Detection (SP)
|
100% |
5185
61.6 IPS |
|
|
Face Detection (HP)
|
100% |
1574
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
7527
89.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5727
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1988
15.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
10130
80.8 IPS |
|
|
Style Transfer (SP)
|
100% |
10065
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7091
9.11 IPS |
|
|
Style Transfer (Q)
|
98% |
18394
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1825
67.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1289
47.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4111
152.2 IPS |
|
|
Text Classification (SP)
|
100% |
1255
1.68 KIPS |
|
|
Text Classification (HP)
|
100% |
676
902.8 IPS |
|
|
Text Classification (Q)
|
97% |
1233
1.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1890
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
983
16.9 IPS |
|
|
Machine Translation (Q)
|
65% |
2591
52.1 IPS |
