Acer Nitro ANV15-51
Geekbench AI Score
1882
Single Precision Score
1898
Half Precision Score
1212
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 04:44 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro ANV15-51 |
| Motherboard | RPL Sportage_RTH |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13420H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
766
142.5 IPS |
|
|
Image Classification (HP)
|
100% |
783
145.6 IPS |
|
|
Image Classification (Q)
|
99% |
617
115.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1189
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1329
21.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
910
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6516
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
7344
8.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
4080
4.78 IPS |
|
|
Object Detection (SP)
|
100% |
880
69.8 IPS |
|
|
Object Detection (HP)
|
98% |
777
61.8 IPS |
|
|
Object Detection (Q)
|
89% |
684
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
1713
20.4 IPS |
|
|
Face Detection (HP)
|
100% |
1873
22.3 IPS |
|
|
Face Detection (Q)
|
97% |
1195
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3595
27.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3960
30.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
2575
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13705
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18246
23.5 IPS |
|
|
Style Transfer (Q)
|
98% |
9738
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2839
104.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1052
39.0 IPS |
|
|
Text Classification (SP)
|
100% |
835
1.11 KIPS |
|
|
Text Classification (HP)
|
100% |
391
521.6 IPS |
|
|
Text Classification (Q)
|
97% |
426
570.0 IPS |
|
|
Machine Translation (SP)
|
100% |
714
12.3 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
327
7.30 IPS |
