Acer Nitro AN515-56
Geekbench AI Score
2042
Single Precision Score
2266
Half Precision Score
1331
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 19 2025 07:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1004
186.7 IPS |
|
|
Image Classification (HP)
|
100% |
1030
191.6 IPS |
|
|
Image Classification (Q)
|
100% |
755
140.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1116
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1367
22.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
821
13.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6447
7.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
9166
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
3968
4.65 IPS |
|
|
Object Detection (SP)
|
100% |
1046
83.0 IPS |
|
|
Object Detection (HP)
|
98% |
1015
80.8 IPS |
|
|
Object Detection (Q)
|
86% |
921
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
1649
19.6 IPS |
|
|
Face Detection (HP)
|
100% |
2462
29.3 IPS |
|
|
Face Detection (Q)
|
97% |
1243
14.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4552
35.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5257
40.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
3266
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18784
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
24818
31.9 IPS |
|
|
Style Transfer (Q)
|
98% |
11527
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2990
110.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3615
133.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1224
45.3 IPS |
|
|
Text Classification (SP)
|
100% |
623
832.2 IPS |
|
|
Text Classification (HP)
|
100% |
375
500.9 IPS |
|
|
Text Classification (Q)
|
97% |
366
490.8 IPS |
|
|
Machine Translation (SP)
|
100% |
636
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
70% |
370
6.94 IPS |
