Acer Nitro AN515-45
Geekbench AI Score
9360
Single Precision Score
14017
Half Precision Score
7031
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | paisarn |
| Upload Date | April 06 2025 08:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro AN515-45 |
| Motherboard | CZ Scala_CAS |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4453
828.2 IPS |
|
|
Image Classification (HP)
|
100% |
4904
912.1 IPS |
|
|
Image Classification (Q)
|
99% |
3640
678.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
6493
105.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7610
123.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
5514
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
33938
39.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
161011
187.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
31933
37.4 IPS |
|
|
Object Detection (SP)
|
100% |
5373
426.2 IPS |
|
|
Object Detection (HP)
|
100% |
5933
470.6 IPS |
|
|
Object Detection (Q)
|
85% |
4487
361.2 IPS |
|
|
Face Detection (SP)
|
100% |
10991
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
11699
139.0 IPS |
|
|
Face Detection (Q)
|
97% |
9438
112.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
21229
163.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
29263
226.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
16434
131.6 IPS |
|
|
Style Transfer (SP)
|
100% |
68138
87.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207578
266.8 IPS |
|
|
Style Transfer (Q)
|
98% |
59077
76.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13671
504.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28176
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9816
363.5 IPS |
|
|
Text Classification (SP)
|
100% |
1752
2.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1813
2.42 KIPS |
|
|
Text Classification (Q)
|
97% |
979
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2263
39.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1167
21.9 IPS |
