Acer Nitro AN515-45
Geekbench AI Score
2905
Single Precision Score
3932
Half Precision Score
2170
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | April 06 2025 08:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
977
181.6 IPS |
|
|
Image Classification (HP)
|
100% |
1247
232.0 IPS |
|
|
Image Classification (Q)
|
100% |
895
166.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1113
18.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12844
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
23675
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
10322
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1138
90.2 IPS |
|
|
Object Detection (HP)
|
100% |
1392
110.4 IPS |
|
|
Object Detection (Q)
|
85% |
1020
82.1 IPS |
|
|
Face Detection (SP)
|
100% |
1978
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
2575
30.6 IPS |
|
|
Face Detection (Q)
|
97% |
1730
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5087
39.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7500
57.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
4229
33.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20980
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35045
45.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16053
20.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4666
172.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7497
276.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3056
113.2 IPS |
|
|
Text Classification (SP)
|
100% |
1202
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (Q)
|
97% |
774
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
1892
32.6 IPS |
|
|
Machine Translation (HP)
|
98% |
2074
35.8 IPS |
|
|
Machine Translation (Q)
|
70% |
797
14.9 IPS |
