Acer Nitro AN515-57
Geekbench AI Score
2372
Single Precision Score
1125
Half Precision Score
4718
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 15 2025 04:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11400H |
| 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)
|
100% |
1991
370.3 IPS |
|
|
Image Classification (HP)
|
100% |
446
83.0 IPS |
|
|
Image Classification (Q)
|
99% |
5424
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3632
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3463
4.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
2531
2.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
12298
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1657
131.5 IPS |
|
|
Object Detection (HP)
|
100% |
497
39.4 IPS |
|
|
Object Detection (Q)
|
86% |
4053
325.7 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
1193
14.2 IPS |
|
|
Face Detection (Q)
|
97% |
6817
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4568
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1650
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11042
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
8205
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
6556
8.43 IPS |
|
|
Style Transfer (Q)
|
98% |
14882
19.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1719
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4878
180.6 IPS |
|
|
Text Classification (SP)
|
100% |
1440
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
757
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
487
652.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1611
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
65% |
2093
42.0 IPS |
