GETAC F120
Geekbench AI Score
3230
Single Precision Score
7958
Half Precision Score
9011
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 26 2024 03:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) (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 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% |
2213
411.5 IPS |
|
|
Image Classification (HP)
|
100% |
4350
809.0 IPS |
|
|
Image Classification (Q)
|
100% |
5522
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2657
43.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6267
101.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6800
110.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7070
8.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
35830
41.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
73105
85.6 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.8 IPS |
|
|
Object Detection (HP)
|
100% |
4160
330.0 IPS |
|
|
Object Detection (Q)
|
88% |
4163
333.6 IPS |
|
|
Face Detection (SP)
|
100% |
4889
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
9712
115.4 IPS |
|
|
Face Detection (Q)
|
100% |
9963
118.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6500
50.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
15562
119.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
18076
140.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16033
20.6 IPS |
|
|
Style Transfer (HP)
|
100% |
47129
60.6 IPS |
|
|
Style Transfer (Q)
|
98% |
54950
70.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2951
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10794
398.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13058
483.6 IPS |
|
|
Text Classification (SP)
|
100% |
1149
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (Q)
|
92% |
1365
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1754
30.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1753
30.2 IPS |
