Acer Aspire X5900
Geekbench AI Score
242
Single Precision Score
141
Half Precision Score
282
Quantized Score
Geekbench AI 1.6.0 for Linux x86 (64-bit)
Result Information
| User | almaspite |
| Upload Date | February 07 2026 09:24 PM |
| Views | 27 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-650 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Acer Aspire X5900 |
| Motherboard | Acer FIH57 |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 1.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (HP)
|
100% |
52
9.64 IPS |
|
|
Image Classification (Q)
|
97% |
176
32.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
64
1.04 IPS |
|
|
Image Segmentation (Q)
|
99% |
215
3.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
299
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
279
0.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
355
0.42 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
59
4.70 IPS |
|
|
Object Detection (Q)
|
86% |
178
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (HP)
|
100% |
95
1.13 IPS |
|
|
Face Detection (Q)
|
97% |
487
5.81 IPS |
|
|
Depth Estimation (SP)
|
100% |
385
2.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
221
1.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
405
3.22 IPS |
|
|
Style Transfer (SP)
|
100% |
777
1.00 IPS |
|
|
Style Transfer (HP)
|
100% |
789
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
780
1.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
174
6.42 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.17 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
216
7.98 IPS |
|
|
Text Classification (SP)
|
100% |
213
283.9 IPS |
|
|
Text Classification (HP)
|
100% |
138
183.6 IPS |
|
|
Text Classification (Q)
|
97% |
241
322.3 IPS |
|
|
Machine Translation (SP)
|
100% |
297
5.12 IPS |
|
|
Machine Translation (HP)
|
100% |
155
2.66 IPS |
|
|
Machine Translation (Q)
|
65% |
171
3.43 IPS |
