Acer Nitro ANV15-41
Geekbench AI Score
8397
Single Precision Score
15709
Half Precision Score
5831
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | FrankenStryker |
| Upload Date | June 09 2025 10:33 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3050 6GB Laptop GPU |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3643
677.5 IPS |
|
|
Image Classification (HP)
|
99% |
6974
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
2955
551.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
5184
84.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9013
146.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4219
68.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37192
43.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
122778
143.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
29519
34.6 IPS |
|
|
Object Detection (SP)
|
100% |
4224
335.0 IPS |
|
|
Object Detection (HP)
|
100% |
8213
651.4 IPS |
|
|
Object Detection (Q)
|
84% |
3430
276.7 IPS |
|
|
Face Detection (SP)
|
100% |
8162
97.0 IPS |
|
|
Face Detection (HP)
|
100% |
14555
172.9 IPS |
|
|
Face Detection (Q)
|
97% |
6637
79.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18420
141.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
40369
311.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
13565
108.4 IPS |
|
|
Style Transfer (SP)
|
100% |
67894
87.3 IPS |
|
|
Style Transfer (HP)
|
100% |
178092
228.9 IPS |
|
|
Style Transfer (Q)
|
98% |
51170
66.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11961
441.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22498
830.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7390
273.6 IPS |
|
|
Text Classification (SP)
|
100% |
1773
2.37 KIPS |
|
|
Text Classification (HP)
|
99% |
2140
2.86 KIPS |
|
|
Text Classification (Q)
|
97% |
982
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2716
46.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2867
49.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1078
20.2 IPS |
