Acer Nitro AN515-46
Geekbench AI Score
10001
Single Precision Score
18453
Half Precision Score
6749
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 01:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Nitro AN515-46 |
| Motherboard | RB Jimny_RBH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 6600H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4378
814.2 IPS |
|
|
Image Classification (HP)
|
99% |
7764
1.45 KIPS |
|
|
Image Classification (Q)
|
100% |
3260
606.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6177
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9777
158.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
5203
84.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
44948
52.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151380
176.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
37658
44.1 IPS |
|
|
Object Detection (SP)
|
100% |
5035
399.4 IPS |
|
|
Object Detection (HP)
|
100% |
9596
761.2 IPS |
|
|
Object Detection (Q)
|
89% |
3525
282.2 IPS |
|
|
Face Detection (SP)
|
100% |
9582
113.9 IPS |
|
|
Face Detection (HP)
|
100% |
16200
192.5 IPS |
|
|
Face Detection (Q)
|
97% |
7433
88.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
22996
177.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
50192
387.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
16057
129.4 IPS |
|
|
Style Transfer (SP)
|
100% |
75715
97.3 IPS |
|
|
Style Transfer (HP)
|
100% |
208273
267.7 IPS |
|
|
Style Transfer (Q)
|
98% |
62167
80.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15726
580.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27623
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
9370
346.9 IPS |
|
|
Text Classification (SP)
|
100% |
2215
2.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3030
4.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1202
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2815
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2930
50.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1043
23.3 IPS |
