Acer Aspire X3900
Geekbench AI Score
150
Single Precision Score
122
Half Precision Score
254
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| User | MyfirstMac58 |
| Upload Date | April 18 2025 05:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Acer Aspire X3900 |
| Motherboard | Acer FIH57 |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i5-650 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 37 Stepping 2 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
85
15.7 IPS |
|
|
Image Classification (HP)
|
100% |
57
10.5 IPS |
|
|
Image Classification (Q)
|
96% |
165
30.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
67
1.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
81
1.32 IPS |
|
|
Image Segmentation (Q)
|
97% |
143
2.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
182
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
176
0.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
344
0.41 IPS |
|
|
Object Detection (SP)
|
100% |
85
6.78 IPS |
|
|
Object Detection (HP)
|
100% |
65
5.17 IPS |
|
|
Object Detection (Q)
|
58% |
135
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
257
3.06 IPS |
|
|
Face Detection (HP)
|
100% |
177
2.10 IPS |
|
|
Face Detection (Q)
|
96% |
430
5.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
240
1.85 IPS |
|
|
Depth Estimation (HP)
|
99% |
182
1.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
420
3.34 IPS |
|
|
Style Transfer (SP)
|
100% |
508
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
501
0.64 IPS |
|
|
Style Transfer (Q)
|
87% |
764
0.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
107
3.97 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
101
3.75 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
202
7.50 IPS |
|
|
Text Classification (SP)
|
100% |
115
153.7 IPS |
|
|
Text Classification (HP)
|
100% |
83
111.2 IPS |
|
|
Text Classification (Q)
|
97% |
125
167.2 IPS |
|
|
Machine Translation (SP)
|
100% |
176
3.04 IPS |
|
|
Machine Translation (HP)
|
100% |
105
1.81 IPS |
|
|
Machine Translation (Q)
|
68% |
294
5.69 IPS |
