Acer Nitro AN515-45
Geekbench AI Score
1941
Single Precision Score
1019
Half Precision Score
2811
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | jibixn |
| Upload Date | April 14 2025 08:29 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 5600H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-45 |
| Motherboard | CZ Scala_CAS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
416
77.3 IPS |
|
|
Image Classification (Q)
|
96% |
3236
604.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
885
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (Q)
|
97% |
1445
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2790
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2458
2.87 IPS |
|
|
Pose Estimation (Q)
|
86% |
7080
8.37 IPS |
|
|
Object Detection (SP)
|
100% |
1550
123.0 IPS |
|
|
Object Detection (HP)
|
100% |
515
40.8 IPS |
|
|
Object Detection (Q)
|
58% |
1904
208.1 IPS |
|
|
Face Detection (SP)
|
100% |
2305
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
974
11.6 IPS |
|
|
Face Detection (Q)
|
96% |
5448
65.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3921
30.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1516
11.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6756
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7250
9.32 IPS |
|
|
Style Transfer (HP)
|
100% |
6253
8.04 IPS |
|
|
Style Transfer (Q)
|
87% |
9856
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1310
48.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1266
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1998
74.0 IPS |
|
|
Text Classification (SP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (HP)
|
100% |
584
780.0 IPS |
|
|
Text Classification (Q)
|
97% |
361
483.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1541
26.5 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1873
36.2 IPS |
