Acer Swift SFG14-63
Geekbench AI Score
1418
Single Precision Score
1460
Half Precision Score
4303
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | nano-onan |
| Upload Date | December 03 2025 10:38 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SFG14-63 |
| Motherboard | HWK Manatee_HKH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 8645HS w/ Radeon 760M Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
884
164.3 IPS |
|
|
Image Classification (HP)
|
100% |
1034
192.3 IPS |
|
|
Image Classification (Q)
|
100% |
5869
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
660
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
506
8.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1389
1.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
1835
2.14 IPS |
|
|
Pose Estimation (Q)
|
98% |
3555
4.16 IPS |
|
|
Object Detection (SP)
|
100% |
745
59.1 IPS |
|
|
Object Detection (HP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (Q)
|
88% |
2126
170.4 IPS |
|
|
Face Detection (SP)
|
100% |
2240
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2270
27.0 IPS |
|
|
Face Detection (Q)
|
100% |
7110
84.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1868
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1714
13.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
5256
40.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2853
3.67 IPS |
|
|
Style Transfer (HP)
|
100% |
4001
5.14 IPS |
|
|
Style Transfer (Q)
|
98% |
14148
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1041
38.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1050
38.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9201
340.8 IPS |
|
|
Text Classification (SP)
|
100% |
2643
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2432
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
3679
4.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2121
36.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2688
46.3 IPS |
