GETAC F120
Geekbench AI Score
6637
Single Precision Score
12706
Half Precision Score
4549
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 07 2025 09:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 140V GPU (16GB) |
| 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% |
2508
466.3 IPS |
|
|
Image Classification (HP)
|
100% |
4516
839.8 IPS |
|
|
Image Classification (Q)
|
100% |
1908
354.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
6764
109.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
10657
172.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4877
79.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20522
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
80003
93.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
16949
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
4352
345.2 IPS |
|
|
Object Detection (HP)
|
100% |
8884
704.7 IPS |
|
|
Object Detection (Q)
|
88% |
3714
297.8 IPS |
|
|
Face Detection (SP)
|
100% |
9109
108.2 IPS |
|
|
Face Detection (HP)
|
100% |
15580
185.1 IPS |
|
|
Face Detection (Q)
|
97% |
5995
71.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18255
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35593
274.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
12789
102.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47861
61.5 IPS |
|
|
Style Transfer (HP)
|
100% |
166986
214.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35626
45.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7647
282.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13506
498.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4853
179.7 IPS |
|
|
Text Classification (SP)
|
100% |
751
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1213
1.62 KIPS |
|
|
Text Classification (Q)
|
97% |
434
581.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2396
41.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2114
36.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1128
21.1 IPS |
