Acer Nitro AN515-56
Geekbench AI Score
5516
Single Precision Score
4369
Half Precision Score
4099
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 19 2025 07:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2274
422.9 IPS |
|
|
Image Classification (HP)
|
100% |
2149
399.6 IPS |
|
|
Image Classification (Q)
|
99% |
1897
353.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3604
58.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3102
50.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2930
47.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
25260
29.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16101
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
22198
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
2749
218.1 IPS |
|
|
Object Detection (HP)
|
100% |
2565
203.4 IPS |
|
|
Object Detection (Q)
|
83% |
2347
189.6 IPS |
|
|
Face Detection (SP)
|
100% |
6054
71.9 IPS |
|
|
Face Detection (HP)
|
100% |
5145
61.1 IPS |
|
|
Face Detection (Q)
|
97% |
5420
64.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
14017
108.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10847
83.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10868
86.7 IPS |
|
|
Style Transfer (SP)
|
100% |
44225
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
30110
38.7 IPS |
|
|
Style Transfer (Q)
|
98% |
37729
48.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8578
316.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6399
236.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5989
221.8 IPS |
|
|
Text Classification (SP)
|
100% |
1080
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
636
848.8 IPS |
|
|
Text Classification (Q)
|
97% |
554
741.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1347
23.3 IPS |
|
|
Machine Translation (Q)
|
70% |
628
11.8 IPS |
