Acer Nitro ANV16-41
Geekbench AI Score
3409
Single Precision Score
1561
Half Precision Score
6755
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | OMD |
| Upload Date | June 09 2025 03:45 AM |
| Views | 8 |
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 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% |
3355
623.9 IPS |
|
|
Image Classification (HP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (Q)
|
99% |
8242
1.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3348
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6918
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
5729
6.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
25123
29.5 IPS |
|
|
Object Detection (SP)
|
100% |
2929
232.3 IPS |
|
|
Object Detection (HP)
|
100% |
862
68.4 IPS |
|
|
Object Detection (Q)
|
86% |
8074
648.9 IPS |
|
|
Face Detection (SP)
|
100% |
5033
59.8 IPS |
|
|
Face Detection (HP)
|
100% |
1568
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10555
125.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7861
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2586
19.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
7245
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
15311
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9028
11.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20685
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1944
71.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1713
63.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3582
132.7 IPS |
|
|
Text Classification (SP)
|
100% |
1740
2.32 KIPS |
|
|
Text Classification (HP)
|
100% |
675
901.0 IPS |
|
|
Text Classification (Q)
|
97% |
1718
2.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1977
34.0 IPS |
|
|
Machine Translation (HP)
|
100% |
775
13.4 IPS |
|
|
Machine Translation (Q)
|
65% |
3631
73.0 IPS |
