Acer Nitro AN515-57
Geekbench AI Score
1644
Single Precision Score
797
Half Precision Score
3076
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alphabenchman82 |
| Upload Date | April 24 2025 01:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11800H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN515-57 |
| Motherboard | TGL Scala_TLS |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
788
146.6 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.2 IPS |
|
|
Image Classification (Q)
|
99% |
2987
557.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
691
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1252
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2478
2.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
2144
2.50 IPS |
|
|
Pose Estimation (Q)
|
94% |
9945
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (HP)
|
100% |
387
30.7 IPS |
|
|
Object Detection (Q)
|
86% |
2897
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
3001
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
897
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
5200
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3327
25.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1147
8.84 IPS |
|
|
Depth Estimation (Q)
|
78% |
8132
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6389
8.21 IPS |
|
|
Style Transfer (HP)
|
100% |
5259
6.76 IPS |
|
|
Style Transfer (Q)
|
98% |
12933
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
989
36.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2276
84.3 IPS |
|
|
Text Classification (SP)
|
100% |
929
1.24 KIPS |
|
|
Text Classification (HP)
|
100% |
497
663.1 IPS |
|
|
Text Classification (Q)
|
97% |
310
415.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
445
7.66 IPS |
|
|
Machine Translation (Q)
|
65% |
1828
36.7 IPS |
