Acer Nitro AN515-42
Geekbench AI Score
880
Single Precision Score
314
Half Precision Score
785
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | radovanslav |
| Upload Date | August 22 2024 04:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 2500U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise LTSC (64-bit) |
| Model | Acer Nitro AN515-42 |
| Motherboard | RR Freed_RRS |
| Power Plan | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
556
103.4 IPS |
|
|
Image Classification (HP)
|
100% |
82
15.3 IPS |
|
|
Image Classification (Q)
|
97% |
565
105.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
108
1.76 IPS |
|
|
Image Segmentation (Q)
|
97% |
554
9.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
1224
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1025
1.20 IPS |
|
|
Pose Estimation (Q)
|
87% |
1315
1.55 IPS |
|
|
Object Detection (SP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (HP)
|
100% |
110
8.75 IPS |
|
|
Object Detection (Q)
|
86% |
484
38.9 IPS |
|
|
Face Detection (SP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
183
2.18 IPS |
|
|
Face Detection (Q)
|
96% |
1247
14.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1662
12.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
469
3.62 IPS |
|
|
Depth Estimation (Q)
|
76% |
1346
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3331
4.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2258
2.90 IPS |
|
|
Style Transfer (Q)
|
87% |
3097
4.03 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
572
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
546
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
653
872.2 IPS |
|
|
Text Classification (HP)
|
100% |
258
344.7 IPS |
|
|
Text Classification (Q)
|
97% |
248
332.0 IPS |
|
|
Machine Translation (SP)
|
100% |
856
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
60% |
639
14.3 IPS |
