GETAC F120
Geekbench AI Score
1208
Single Precision Score
639
Half Precision Score
2399
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 03:40 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 226V |
| 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 5 226V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
828
154.0 IPS |
|
|
Image Classification (HP)
|
100% |
252
46.8 IPS |
|
|
Image Classification (Q)
|
99% |
2012
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
590
9.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
433
7.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
1215
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1669
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1356
1.58 IPS |
|
|
Pose Estimation (Q)
|
94% |
6047
7.09 IPS |
|
|
Object Detection (SP)
|
100% |
802
63.6 IPS |
|
|
Object Detection (HP)
|
100% |
309
24.5 IPS |
|
|
Object Detection (Q)
|
86% |
1924
154.6 IPS |
|
|
Face Detection (SP)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
799
9.49 IPS |
|
|
Face Detection (Q)
|
97% |
3141
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2258
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
969
7.47 IPS |
|
|
Depth Estimation (Q)
|
78% |
4874
38.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4060
5.22 IPS |
|
|
Style Transfer (HP)
|
100% |
3349
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
8900
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
715
26.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1656
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
685
914.9 IPS |
|
|
Text Classification (HP)
|
100% |
383
510.6 IPS |
|
|
Text Classification (Q)
|
97% |
819
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (Q)
|
65% |
1202
24.2 IPS |
