Acer Nitro ANV15-51
Geekbench AI Score
1877
Single Precision Score
1897
Half Precision Score
1219
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 04:41 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% |
768
142.8 IPS |
|
|
Image Classification (HP)
|
100% |
775
144.1 IPS |
|
|
Image Classification (Q)
|
99% |
619
115.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1202
19.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1382
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
908
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6502
7.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
7323
8.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
4075
4.77 IPS |
|
|
Object Detection (SP)
|
100% |
875
69.4 IPS |
|
|
Object Detection (HP)
|
98% |
771
61.3 IPS |
|
|
Object Detection (Q)
|
89% |
690
55.2 IPS |
|
|
Face Detection (SP)
|
100% |
1712
20.3 IPS |
|
|
Face Detection (HP)
|
100% |
1871
22.2 IPS |
|
|
Face Detection (Q)
|
97% |
1209
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3587
27.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3965
30.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
2581
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13742
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18107
23.3 IPS |
|
|
Style Transfer (Q)
|
98% |
9781
12.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2127
78.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2812
103.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1059
39.2 IPS |
|
|
Text Classification (SP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
390
520.4 IPS |
|
|
Text Classification (Q)
|
97% |
434
581.8 IPS |
|
|
Machine Translation (SP)
|
100% |
723
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
681
11.7 IPS |
|
|
Machine Translation (Q)
|
60% |
329
7.34 IPS |
