Acer Nitro ANV16-41
Geekbench AI Score
15504
Single Precision Score
25647
Half Precision Score
12440
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 11:42 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro ANV16-41 |
| Motherboard | HWK RZ_HKH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6327
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
10610
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
5915
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11386
184.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15441
250.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9490
154.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
80623
94.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
230661
269.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
71254
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
7967
632.0 IPS |
|
|
Object Detection (HP)
|
100% |
14298
1.13 KIPS |
|
|
Object Detection (Q)
|
84% |
7119
574.2 IPS |
|
|
Face Detection (SP)
|
100% |
18740
222.7 IPS |
|
|
Face Detection (HP)
|
100% |
25175
299.1 IPS |
|
|
Face Detection (Q)
|
97% |
16817
200.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
34459
265.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
77122
594.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
30499
244.0 IPS |
|
|
Style Transfer (SP)
|
100% |
132146
169.9 IPS |
|
|
Style Transfer (HP)
|
100% |
328856
422.7 IPS |
|
|
Style Transfer (Q)
|
98% |
121622
156.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24900
919.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38747
1.43 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
18806
696.3 IPS |
|
|
Text Classification (SP)
|
100% |
2530
3.38 KIPS |
|
|
Text Classification (HP)
|
99% |
2960
3.95 KIPS |
|
|
Text Classification (Q)
|
97% |
1670
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3227
55.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3113
53.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1592
29.9 IPS |
