Acer Nitro AN17-42
Geekbench AI Score
1345
Single Precision Score
693
Half Precision Score
1952
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 20 2024 01:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Nitro AN17-42 |
| Motherboard | HWK EX90_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% |
785
146.1 IPS |
|
|
Image Classification (HP)
|
100% |
246
45.8 IPS |
|
|
Image Classification (Q)
|
99% |
1843
343.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
407
6.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
379
6.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1033
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2262
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1978
2.31 IPS |
|
|
Pose Estimation (Q)
|
95% |
9250
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
88% |
906
72.6 IPS |
|
|
Face Detection (SP)
|
100% |
1878
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
789
9.37 IPS |
|
|
Face Detection (Q)
|
97% |
2914
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2798
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1032
7.95 IPS |
|
|
Depth Estimation (Q)
|
77% |
3075
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5718
7.35 IPS |
|
|
Style Transfer (HP)
|
100% |
5286
6.80 IPS |
|
|
Style Transfer (Q)
|
98% |
12763
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
951
35.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1718
63.6 IPS |
|
|
Text Classification (SP)
|
100% |
799
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
328
438.3 IPS |
|
|
Text Classification (Q)
|
97% |
206
275.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1166
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
60% |
1250
27.9 IPS |
