Acer Nitro AN515-57
Geekbench AI Score
516
Single Precision Score
315
Half Precision Score
212
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 04:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Acer Nitro AN515-57 |
| Motherboard | TGL Scala_TLS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.69 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
50% |
290
107.8 IPS |
|
|
Image Classification (HP)
|
0% |
0
152.1 IPS |
|
|
Image Classification (Q)
|
0% |
0
83.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
525
8.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
411
6.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2462
2.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
2128
2.48 IPS |
|
|
Pose Estimation (Q)
|
97% |
2090
2.45 IPS |
|
|
Object Detection (SP)
|
0% |
0
41.3 IPS |
|
|
Object Detection (HP)
|
0% |
0
58.6 IPS |
|
|
Object Detection (Q)
|
0% |
0
33.6 IPS |
|
|
Face Detection (SP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
1302
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
901
10.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2139
16.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2716
21.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
1508
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4727
6.08 IPS |
|
|
Style Transfer (HP)
|
100% |
6011
7.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3721
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
809
29.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1090
40.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
605
22.4 IPS |
|
|
Text Classification (SP)
|
100% |
551
735.7 IPS |
|
|
Text Classification (HP)
|
100% |
353
471.6 IPS |
|
|
Text Classification (Q)
|
97% |
271
362.8 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
99% |
577
9.97 IPS |
|
|
Machine Translation (Q)
|
70% |
264
4.95 IPS |
