GETAC F120
Geekbench AI Score
1430
Single Precision Score
877
Half Precision Score
3711
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 03:46 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
827
153.7 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.8 IPS |
|
|
Image Classification (Q)
|
100% |
2349
436.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
847
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
533
8.63 IPS |
|
|
Image Segmentation (Q)
|
99% |
2164
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1680
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1174
1.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
6450
7.56 IPS |
|
|
Object Detection (SP)
|
100% |
836
66.3 IPS |
|
|
Object Detection (HP)
|
100% |
438
34.8 IPS |
|
|
Object Detection (Q)
|
88% |
2463
197.4 IPS |
|
|
Face Detection (SP)
|
100% |
2382
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (Q)
|
100% |
5478
65.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2294
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1287
9.92 IPS |
|
|
Depth Estimation (Q)
|
89% |
6508
50.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4850
6.23 IPS |
|
|
Style Transfer (HP)
|
100% |
3273
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
17670
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3615
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
1186
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
761
1.02 KIPS |
|
|
Text Classification (Q)
|
92% |
2307
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1180
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1169
20.1 IPS |
