Acer Nitro AN515-54
Geekbench AI Score
1112
Single Precision Score
569
Half Precision Score
1400
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 13 2025 11:50 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Nitro AN515-54 |
| Motherboard | CFL Octavia_CFS |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 13 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
608
113.1 IPS |
|
|
Image Classification (HP)
|
100% |
188
35.0 IPS |
|
|
Image Classification (Q)
|
96% |
996
186.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
537
8.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.81 IPS |
|
|
Image Segmentation (Q)
|
97% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1464
1.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
1218
1.42 IPS |
|
|
Pose Estimation (Q)
|
86% |
2771
3.28 IPS |
|
|
Object Detection (SP)
|
100% |
756
60.0 IPS |
|
|
Object Detection (HP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (Q)
|
58% |
885
96.7 IPS |
|
|
Face Detection (SP)
|
100% |
1951
23.2 IPS |
|
|
Face Detection (HP)
|
100% |
641
7.61 IPS |
|
|
Face Detection (Q)
|
96% |
2734
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1827
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
792
6.10 IPS |
|
|
Depth Estimation (Q)
|
78% |
2929
23.4 IPS |
|
|
Style Transfer (SP)
|
100% |
3674
4.72 IPS |
|
|
Style Transfer (HP)
|
100% |
2754
3.54 IPS |
|
|
Style Transfer (Q)
|
87% |
5536
7.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
808
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1144
42.4 IPS |
|
|
Text Classification (SP)
|
100% |
753
1.00 KIPS |
|
|
Text Classification (HP)
|
100% |
430
574.3 IPS |
|
|
Text Classification (Q)
|
97% |
272
363.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1009
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
394
6.78 IPS |
|
|
Machine Translation (Q)
|
68% |
1149
22.2 IPS |
