Acer Swift SFG14-63
Geekbench AI Score
5678
Single Precision Score
5708
Half Precision Score
15602
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MoP |
| Upload Date | February 08 2025 02:56 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS w/ Radeon 780M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC Evaluation (64-bit) |
| Model | Acer Swift SFG14-63 |
| Motherboard | HWK Manatee_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% |
3872
720.0 IPS |
|
|
Image Classification (HP)
|
100% |
3803
707.2 IPS |
|
|
Image Classification (Q)
|
100% |
9936
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3677
59.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4101
66.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10153
164.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7376
8.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
6995
8.16 IPS |
|
|
Pose Estimation (Q)
|
98% |
29078
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
3223
255.6 IPS |
|
|
Object Detection (HP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (Q)
|
88% |
9996
801.3 IPS |
|
|
Face Detection (SP)
|
100% |
6562
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
6752
80.2 IPS |
|
|
Face Detection (Q)
|
100% |
24192
287.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9527
73.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9408
72.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
26104
203.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20252
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20192
26.0 IPS |
|
|
Style Transfer (Q)
|
98% |
78877
101.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4463
164.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15525
575.0 IPS |
|
|
Text Classification (SP)
|
100% |
3770
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3785
5.05 KIPS |
|
|
Text Classification (Q)
|
92% |
5737
7.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4836
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5098
87.8 IPS |
|
|
Machine Translation (Q)
|
100% |
6570
113.2 IPS |
