Acer S16-41L
Geekbench AI Score
2395
Single Precision Score
1231
Half Precision Score
4465
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 10:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer S16-41L |
| Motherboard | Acer S321 |
| 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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1958
364.1 IPS |
|
|
Image Classification (HP)
|
100% |
474
88.2 IPS |
|
|
Image Classification (Q)
|
99% |
6509
1.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2241
36.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3934
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3614
4.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
16481
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
1875
148.8 IPS |
|
|
Object Detection (HP)
|
100% |
520
41.3 IPS |
|
|
Object Detection (Q)
|
86% |
4475
359.6 IPS |
|
|
Face Detection (SP)
|
100% |
2347
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (Q)
|
97% |
7202
85.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5319
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1940
14.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
12233
97.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8742
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8709
11.2 IPS |
|
|
Style Transfer (Q)
|
98% |
12513
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1673
61.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1533
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2818
104.4 IPS |
|
|
Text Classification (SP)
|
100% |
1473
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
685
914.4 IPS |
|
|
Text Classification (Q)
|
97% |
408
546.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1432
24.7 IPS |
|
|
Machine Translation (HP)
|
100% |
624
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2312
46.5 IPS |
