Acer Swift SF315-41
Geekbench AI Score
524
Single Precision Score
309
Half Precision Score
595
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Nickayz |
| Upload Date | March 20 2025 10:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Acer Swift SF315-41 |
| Motherboard | RR Becks_RR |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 2500U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 17 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
638
118.7 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.3 IPS |
|
|
Image Classification (Q)
|
96% |
531
99.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
264
4.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
210
3.40 IPS |
|
|
Image Segmentation (Q)
|
97% |
373
6.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
554
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
512
0.60 IPS |
|
|
Pose Estimation (Q)
|
86% |
944
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
321
25.4 IPS |
|
|
Object Detection (HP)
|
100% |
166
13.2 IPS |
|
|
Object Detection (Q)
|
58% |
328
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
869
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (Q)
|
96% |
1161
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
793
6.11 IPS |
|
|
Depth Estimation (HP)
|
99% |
438
3.38 IPS |
|
|
Depth Estimation (Q)
|
78% |
1159
9.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1507
1.94 IPS |
|
|
Style Transfer (HP)
|
100% |
1305
1.68 IPS |
|
|
Style Transfer (Q)
|
87% |
2231
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
310
11.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
238
8.80 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
313
417.2 IPS |
|
|
Text Classification (HP)
|
100% |
165
220.1 IPS |
|
|
Text Classification (Q)
|
97% |
150
201.0 IPS |
|
|
Machine Translation (SP)
|
100% |
521
8.97 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (Q)
|
68% |
495
9.56 IPS |
