Acer Nitro ANV15-41
Geekbench AI Score
7807
Single Precision Score
14632
Half Precision Score
5491
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | February 01 2025 12:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2050 |
| 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 5 7535HS |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3489
648.9 IPS |
|
|
Image Classification (HP)
|
99% |
6348
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
2928
546.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
4526
73.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7528
122.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3693
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
30044
35.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
97018
113.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
24531
28.7 IPS |
|
|
Object Detection (SP)
|
100% |
3948
313.2 IPS |
|
|
Object Detection (HP)
|
100% |
7975
632.6 IPS |
|
|
Object Detection (Q)
|
84% |
3240
261.3 IPS |
|
|
Face Detection (SP)
|
100% |
7245
86.1 IPS |
|
|
Face Detection (HP)
|
100% |
13217
157.0 IPS |
|
|
Face Detection (Q)
|
97% |
5949
70.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
18647
143.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37970
292.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
13355
107.0 IPS |
|
|
Style Transfer (SP)
|
100% |
60626
77.9 IPS |
|
|
Style Transfer (HP)
|
100% |
164474
211.4 IPS |
|
|
Style Transfer (Q)
|
98% |
45420
58.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9928
366.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20832
769.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6509
241.0 IPS |
|
|
Text Classification (SP)
|
100% |
2148
2.87 KIPS |
|
|
Text Classification (HP)
|
99% |
2560
3.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1141
1.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
2572
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2764
47.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1082
20.3 IPS |
