Acer S16-41L
Geekbench AI Score
4148
Single Precision Score
4202
Half Precision Score
13172
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 10:53 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| 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% |
2781
517.2 IPS |
|
|
Image Classification (HP)
|
100% |
2680
498.4 IPS |
|
|
Image Classification (Q)
|
100% |
8988
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2777
45.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3153
51.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7525
122.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5909
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
5934
6.92 IPS |
|
|
Pose Estimation (Q)
|
98% |
25804
30.2 IPS |
|
|
Object Detection (SP)
|
100% |
2320
184.0 IPS |
|
|
Object Detection (HP)
|
100% |
2342
185.8 IPS |
|
|
Object Detection (Q)
|
88% |
9410
754.3 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
3586
42.6 IPS |
|
|
Face Detection (Q)
|
100% |
21224
252.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7115
54.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6983
53.8 IPS |
|
|
Depth Estimation (Q)
|
88% |
22601
175.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14645
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
16109
20.7 IPS |
|
|
Style Transfer (Q)
|
98% |
55301
71.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3370
124.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3334
123.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13118
485.8 IPS |
|
|
Text Classification (SP)
|
100% |
3345
4.46 KIPS |
|
|
Text Classification (HP)
|
100% |
3367
4.49 KIPS |
|
|
Text Classification (Q)
|
92% |
5333
7.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3407
58.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3231
55.7 IPS |
|
|
Machine Translation (Q)
|
100% |
5159
88.9 IPS |
