Acer Aspire A515-45G
Geekbench AI Score
920
Single Precision Score
422
Half Precision Score
1090
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | minouh |
| Upload Date | April 09 2025 02:49 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5700U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A515-45G |
| Motherboard | LN Calla_LC |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 104 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
740
137.6 IPS |
|
|
Image Classification (HP)
|
100% |
156
29.1 IPS |
|
|
Image Classification (Q)
|
96% |
876
163.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
200
3.25 IPS |
|
|
Image Segmentation (Q)
|
97% |
650
10.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1578
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1310
1.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
1983
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
723
57.3 IPS |
|
|
Object Detection (HP)
|
100% |
202
16.0 IPS |
|
|
Object Detection (Q)
|
58% |
648
70.8 IPS |
|
|
Face Detection (SP)
|
100% |
1433
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
421
5.01 IPS |
|
|
Face Detection (Q)
|
96% |
2037
24.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2051
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
623
4.80 IPS |
|
|
Depth Estimation (Q)
|
78% |
2209
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3934
5.06 IPS |
|
|
Style Transfer (HP)
|
100% |
3165
4.07 IPS |
|
|
Style Transfer (Q)
|
87% |
4108
5.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
678
25.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
686
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.8 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.0 IPS |
|
|
Text Classification (Q)
|
97% |
340
454.9 IPS |
|
|
Machine Translation (SP)
|
100% |
614
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (Q)
|
68% |
753
14.6 IPS |
