Acer Nitro AN515-43
Geekbench AI Score
881
Single Precision Score
515
Half Precision Score
982
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 22 2025 07:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 3550H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN515-43 |
| Motherboard | PK Octavia_PKS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3550H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (HP)
|
100% |
224
41.7 IPS |
|
|
Image Classification (Q)
|
96% |
683
127.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (Q)
|
97% |
656
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1159
1.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
984
1.15 IPS |
|
|
Pose Estimation (Q)
|
86% |
1460
1.73 IPS |
|
|
Object Detection (SP)
|
100% |
604
47.9 IPS |
|
|
Object Detection (HP)
|
100% |
259
20.5 IPS |
|
|
Object Detection (Q)
|
58% |
497
54.4 IPS |
|
|
Face Detection (SP)
|
100% |
1427
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (Q)
|
96% |
1704
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1488
11.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
760
5.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
1617
12.9 IPS |
|
|
Style Transfer (SP)
|
100% |
3195
4.11 IPS |
|
|
Style Transfer (HP)
|
100% |
2512
3.23 IPS |
|
|
Style Transfer (Q)
|
87% |
3106
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
613
22.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
631
23.4 IPS |
|
|
Text Classification (SP)
|
100% |
542
723.5 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.1 IPS |
|
|
Text Classification (Q)
|
97% |
546
730.8 IPS |
|
|
Machine Translation (SP)
|
100% |
769
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
360
6.20 IPS |
|
|
Machine Translation (Q)
|
68% |
872
16.9 IPS |
