ASUS All Series
Geekbench AI Score
298
Single Precision Score
217
Half Precision Score
406
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 10 2025 08:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium G3240 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. H81M-K |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel Pentium G3240 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.2 IPS |
|
|
Image Classification (Q)
|
96% |
308
57.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
166
2.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
142
2.31 IPS |
|
|
Image Segmentation (Q)
|
97% |
268
4.35 IPS |
|
|
Pose Estimation (SP)
|
100% |
339
0.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
309
0.36 IPS |
|
|
Pose Estimation (Q)
|
86% |
562
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
179
14.2 IPS |
|
|
Object Detection (HP)
|
100% |
117
9.26 IPS |
|
|
Object Detection (Q)
|
58% |
216
23.6 IPS |
|
|
Face Detection (SP)
|
100% |
474
5.63 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (Q)
|
96% |
607
7.24 IPS |
|
|
Depth Estimation (SP)
|
100% |
466
3.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
325
2.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
647
5.15 IPS |
|
|
Style Transfer (SP)
|
100% |
920
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
879
1.13 IPS |
|
|
Style Transfer (Q)
|
87% |
1157
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
199
7.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
183
6.77 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
324
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
226
301.1 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (Q)
|
97% |
214
286.3 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (HP)
|
100% |
174
3.00 IPS |
|
|
Machine Translation (Q)
|
68% |
394
7.61 IPS |
