Acer Nitro ANV16-41
Geekbench AI Score
1428
Single Precision Score
719
Half Precision Score
1934
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 09 2024 07:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise (64-bit) |
| Model | Acer Nitro ANV16-41 |
| Motherboard | HWK RZ_HKH |
| Power Plan | Balanced |
| 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% |
812
151.0 IPS |
|
|
Image Classification (HP)
|
100% |
275
51.1 IPS |
|
|
Image Classification (Q)
|
99% |
1902
354.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
1055
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
2113
2.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
9970
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
941
74.6 IPS |
|
|
Object Detection (HP)
|
100% |
327
26.0 IPS |
|
|
Object Detection (Q)
|
88% |
998
80.0 IPS |
|
|
Face Detection (SP)
|
100% |
2028
24.1 IPS |
|
|
Face Detection (HP)
|
100% |
864
10.3 IPS |
|
|
Face Detection (Q)
|
97% |
2122
25.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2836
21.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1093
8.42 IPS |
|
|
Depth Estimation (Q)
|
77% |
3377
27.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6226
8.00 IPS |
|
|
Style Transfer (HP)
|
100% |
5645
7.26 IPS |
|
|
Style Transfer (Q)
|
98% |
13863
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1718
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
329
439.2 IPS |
|
|
Text Classification (Q)
|
97% |
205
274.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1199
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.46 IPS |
|
|
Machine Translation (Q)
|
60% |
1052
23.5 IPS |
