Acer Nitro AN515-57
Geekbench AI Score
12465
Single Precision Score
21696
Half Precision Score
8486
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ssssssss |
| Upload Date | November 26 2024 03:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Nitro AN515-57 |
| Motherboard | TGL Scala_TLS |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5338
992.8 IPS |
|
|
Image Classification (HP)
|
99% |
8686
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
3988
741.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
8229
133.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11810
191.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
6718
109.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
57793
67.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
171287
199.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
49618
58.1 IPS |
|
|
Object Detection (SP)
|
100% |
6290
499.0 IPS |
|
|
Object Detection (HP)
|
100% |
11089
879.6 IPS |
|
|
Object Detection (Q)
|
89% |
4636
371.2 IPS |
|
|
Face Detection (SP)
|
100% |
13853
164.6 IPS |
|
|
Face Detection (HP)
|
100% |
21998
261.4 IPS |
|
|
Face Detection (Q)
|
97% |
10791
128.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
29462
227.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
61261
473.3 IPS |
|
|
Depth Estimation (Q)
|
76% |
20993
169.2 IPS |
|
|
Style Transfer (SP)
|
100% |
104897
134.8 IPS |
|
|
Style Transfer (HP)
|
100% |
280354
360.4 IPS |
|
|
Style Transfer (Q)
|
98% |
86160
111.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19232
710.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33647
1.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12612
467.0 IPS |
|
|
Text Classification (SP)
|
100% |
2449
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
3234
4.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1222
1.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2813
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2886
49.7 IPS |
|
|
Machine Translation (Q)
|
60% |
1045
23.3 IPS |
