GETAC F120
Geekbench AI Score
1435
Single Precision Score
7913
Half Precision Score
11239
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 04:02 AM |
| Views | 2 |
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 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% |
829
154.2 IPS |
|
|
Image Classification (HP)
|
100% |
5443
1.01 KIPS |
|
|
Image Classification (Q)
|
100% |
7370
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2509
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1689
1.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
32754
38.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
77107
90.3 IPS |
|
|
Object Detection (SP)
|
100% |
823
65.3 IPS |
|
|
Object Detection (HP)
|
100% |
6017
477.3 IPS |
|
|
Object Detection (Q)
|
87% |
8402
674.3 IPS |
|
|
Face Detection (SP)
|
100% |
2463
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
10611
126.1 IPS |
|
|
Face Detection (Q)
|
100% |
15111
179.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2287
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
26103
201.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
46237
359.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4750
6.11 IPS |
|
|
Style Transfer (HP)
|
100% |
78533
101.0 IPS |
|
|
Style Transfer (Q)
|
98% |
127291
164.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13862
511.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22323
826.7 IPS |
|
|
Text Classification (SP)
|
100% |
1108
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (Q)
|
92% |
1333
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1212
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1015
17.5 IPS |
