Acer Nitro ANV15-41
Geekbench AI Score
2679
Single Precision Score
1304
Half Precision Score
4302
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 03:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Nitro ANV15-41 |
| Motherboard | RB Sportage_RBH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2215
412.0 IPS |
|
|
Image Classification (HP)
|
100% |
505
93.8 IPS |
|
|
Image Classification (Q)
|
96% |
4621
862.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
589
9.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
452
7.33 IPS |
|
|
Image Segmentation (Q)
|
97% |
2451
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5134
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
4340
5.06 IPS |
|
|
Pose Estimation (Q)
|
86% |
11644
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
2069
164.1 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (Q)
|
58% |
2792
305.1 IPS |
|
|
Face Detection (SP)
|
100% |
3216
38.2 IPS |
|
|
Face Detection (HP)
|
100% |
1214
14.4 IPS |
|
|
Face Detection (Q)
|
96% |
6583
78.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6960
53.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2090
16.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
9601
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12386
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10626
13.7 IPS |
|
|
Style Transfer (Q)
|
87% |
12597
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2168
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1877
69.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2514
93.2 IPS |
|
|
Text Classification (SP)
|
100% |
1675
2.24 KIPS |
|
|
Text Classification (HP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1610
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1366
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
541
9.33 IPS |
|
|
Machine Translation (Q)
|
68% |
1832
35.4 IPS |
