Acer Nitro ANV15-51
Geekbench AI Score
7378
Single Precision Score
13254
Half Precision Score
4992
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 04:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| 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% |
2804
521.5 IPS |
|
|
Image Classification (HP)
|
99% |
5329
993.9 IPS |
|
|
Image Classification (Q)
|
100% |
2370
440.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4214
68.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6315
102.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3632
59.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
35089
40.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
115386
134.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
28650
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
3399
269.6 IPS |
|
|
Object Detection (HP)
|
100% |
6347
503.5 IPS |
|
|
Object Detection (Q)
|
89% |
2603
208.4 IPS |
|
|
Face Detection (SP)
|
100% |
6967
82.8 IPS |
|
|
Face Detection (HP)
|
100% |
10318
122.6 IPS |
|
|
Face Detection (Q)
|
97% |
5094
60.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17879
137.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35674
275.6 IPS |
|
|
Depth Estimation (Q)
|
76% |
12704
102.4 IPS |
|
|
Style Transfer (SP)
|
100% |
66911
86.0 IPS |
|
|
Style Transfer (HP)
|
100% |
171275
220.2 IPS |
|
|
Style Transfer (Q)
|
98% |
49551
63.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11561
426.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20714
764.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6874
254.5 IPS |
|
|
Text Classification (SP)
|
100% |
2002
2.67 KIPS |
|
|
Text Classification (HP)
|
99% |
2787
3.72 KIPS |
|
|
Text Classification (Q)
|
97% |
945
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1759
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1866
32.1 IPS |
|
|
Machine Translation (Q)
|
60% |
719
16.0 IPS |
