Acer Nitro ANV15-41
Geekbench AI Score
2449
Single Precision Score
703
Half Precision Score
2902
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | December 23 2024 11:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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% |
1608
299.1 IPS |
|
|
Image Classification (HP)
|
100% |
147
27.3 IPS |
|
|
Image Classification (Q)
|
97% |
2983
556.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
661
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
158
2.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
1858
30.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4549
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
3900
4.55 IPS |
|
|
Pose Estimation (Q)
|
87% |
10823
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (HP)
|
100% |
200
15.9 IPS |
|
|
Object Detection (Q)
|
86% |
1713
137.7 IPS |
|
|
Face Detection (SP)
|
100% |
2288
27.2 IPS |
|
|
Face Detection (HP)
|
100% |
281
3.34 IPS |
|
|
Face Detection (Q)
|
96% |
3309
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5261
40.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
919
7.08 IPS |
|
|
Depth Estimation (Q)
|
76% |
5667
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
10904
14.0 IPS |
|
|
Style Transfer (HP)
|
100% |
9307
12.0 IPS |
|
|
Style Transfer (Q)
|
87% |
15081
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2172
80.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1733
64.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2444
90.6 IPS |
|
|
Text Classification (SP)
|
100% |
1923
2.57 KIPS |
|
|
Text Classification (HP)
|
100% |
679
905.7 IPS |
|
|
Text Classification (Q)
|
97% |
391
523.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1565
26.9 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
60% |
1528
34.1 IPS |
