Acer Nitro AN515-56
Geekbench AI Score
1539
Single Precision Score
760
Half Precision Score
3378
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 19 2025 06:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-11300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN515-56 |
| Motherboard | TGL Scala_TLM |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1183
220.1 IPS |
|
|
Image Classification (HP)
|
100% |
299
55.7 IPS |
|
|
Image Classification (Q)
|
99% |
3186
594.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
447
7.25 IPS |
|
|
Image Segmentation (Q)
|
98% |
1714
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2204
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1908
2.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
8944
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1139
90.3 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (Q)
|
86% |
2943
236.6 IPS |
|
|
Face Detection (SP)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (Q)
|
97% |
5037
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3148
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1167
8.99 IPS |
|
|
Depth Estimation (Q)
|
78% |
6894
55.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5522
7.10 IPS |
|
|
Style Transfer (HP)
|
100% |
4554
5.85 IPS |
|
|
Style Transfer (Q)
|
98% |
10762
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
987
36.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2115
78.3 IPS |
|
|
Text Classification (SP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
465
620.0 IPS |
|
|
Text Classification (Q)
|
97% |
1175
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.44 IPS |
|
|
Machine Translation (Q)
|
65% |
1451
29.2 IPS |
