Acer Nitro AN515-45
Geekbench AI Score
2571
Single Precision Score
1190
Half Precision Score
3973
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | April 06 2025 08:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 5800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-45 |
| Motherboard | CZ Scala_CAS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2102
390.9 IPS |
|
|
Image Classification (HP)
|
100% |
454
84.5 IPS |
|
|
Image Classification (Q)
|
96% |
4170
778.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1272
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2322
37.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3938
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3367
3.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
9301
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
100% |
578
45.9 IPS |
|
|
Object Detection (Q)
|
58% |
2807
306.7 IPS |
|
|
Face Detection (SP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
1027
12.2 IPS |
|
|
Face Detection (Q)
|
96% |
6101
72.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5870
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1832
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
8357
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9931
12.8 IPS |
|
|
Style Transfer (HP)
|
100% |
8314
10.7 IPS |
|
|
Style Transfer (Q)
|
87% |
10634
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1947
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1609
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2346
86.9 IPS |
|
|
Text Classification (SP)
|
100% |
1393
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
681
908.4 IPS |
|
|
Text Classification (Q)
|
97% |
1388
1.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (Q)
|
68% |
2200
42.5 IPS |
