Acer Nitro AN515-46
Geekbench AI Score
2105
Single Precision Score
1107
Half Precision Score
3015
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 01:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 6600H |
| 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% |
1479
275.1 IPS |
|
|
Image Classification (HP)
|
100% |
442
82.2 IPS |
|
|
Image Classification (Q)
|
96% |
2657
496.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
552
8.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
453
7.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
2094
34.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3650
4.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
3017
3.52 IPS |
|
|
Pose Estimation (Q)
|
87% |
7953
9.39 IPS |
|
|
Object Detection (SP)
|
100% |
1634
129.6 IPS |
|
|
Object Detection (HP)
|
100% |
566
44.9 IPS |
|
|
Object Detection (Q)
|
86% |
1612
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
2180
25.9 IPS |
|
|
Face Detection (HP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (Q)
|
96% |
3141
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4187
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1717
13.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
4584
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9258
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
7665
9.85 IPS |
|
|
Style Transfer (Q)
|
87% |
13021
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1660
61.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1561
57.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2189
81.1 IPS |
|
|
Text Classification (SP)
|
100% |
1531
2.04 KIPS |
|
|
Text Classification (HP)
|
100% |
634
846.8 IPS |
|
|
Text Classification (Q)
|
97% |
1315
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.04 IPS |
|
|
Machine Translation (Q)
|
60% |
1616
36.0 IPS |
