Acer Nitro AN515-57
Geekbench AI Score
1377
Single Precision Score
1431
Half Precision Score
931
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alphabenchman82 |
| Upload Date | April 24 2025 01:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
605
112.6 IPS |
|
|
Image Classification (HP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (Q)
|
100% |
529
98.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
647
10.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4065
4.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
4543
5.30 IPS |
|
|
Pose Estimation (Q)
|
96% |
2794
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
681
54.0 IPS |
|
|
Object Detection (HP)
|
98% |
567
45.1 IPS |
|
|
Object Detection (Q)
|
86% |
481
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
1416
16.8 IPS |
|
|
Face Detection (Q)
|
97% |
995
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2383
18.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2800
21.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
1807
14.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8616
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
12428
16.0 IPS |
|
|
Style Transfer (Q)
|
98% |
6610
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2215
81.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
786
29.1 IPS |
|
|
Text Classification (SP)
|
100% |
691
921.9 IPS |
|
|
Text Classification (HP)
|
100% |
345
461.1 IPS |
|
|
Text Classification (Q)
|
97% |
351
470.7 IPS |
|
|
Machine Translation (SP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (HP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (Q)
|
70% |
327
6.14 IPS |
