ASUSTeK COMPUTER INC. X75VD1
Geekbench AI Score
235
Single Precision Score
167
Half Precision Score
326
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | March 19 2025 03:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium 2020M |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. X75VD1 |
| Motherboard | ASUSTeK COMPUTER INC. X75VD1 |
| Power Plan | Power4Gear Battery Saving |
| CPU Information | |
|---|---|
| Name | Intel Pentium 2020M |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 6.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
142
26.5 IPS |
|
|
Image Classification (HP)
|
100% |
81
15.1 IPS |
|
|
Image Classification (Q)
|
96% |
231
43.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
140
2.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
114
1.84 IPS |
|
|
Image Segmentation (Q)
|
97% |
196
3.19 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
231
0.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
444
0.53 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
90
7.12 IPS |
|
|
Object Detection (Q)
|
58% |
165
18.0 IPS |
|
|
Face Detection (SP)
|
100% |
429
5.09 IPS |
|
|
Face Detection (HP)
|
100% |
241
2.86 IPS |
|
|
Face Detection (Q)
|
96% |
555
6.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
347
2.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
243
1.87 IPS |
|
|
Depth Estimation (Q)
|
78% |
522
4.15 IPS |
|
|
Style Transfer (SP)
|
100% |
699
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
652
0.84 IPS |
|
|
Style Transfer (Q)
|
87% |
1054
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
143
5.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
250
9.26 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.8 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.8 IPS |
|
|
Text Classification (Q)
|
97% |
150
201.2 IPS |
|
|
Machine Translation (SP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (HP)
|
100% |
143
2.46 IPS |
|
|
Machine Translation (Q)
|
68% |
368
7.11 IPS |
