Acer Swift SFG14-63
Geekbench AI Score
1780
Single Precision Score
905
Half Precision Score
4299
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | nano-onan |
| Upload Date | December 03 2025 10:10 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1229
228.6 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.6 IPS |
|
|
Image Classification (Q)
|
99% |
3776
704.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
886
14.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
477
7.73 IPS |
|
|
Image Segmentation (Q)
|
98% |
4652
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2453
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2185
2.55 IPS |
|
|
Pose Estimation (Q)
|
94% |
10227
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
1240
98.4 IPS |
|
|
Object Detection (HP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (Q)
|
86% |
3728
299.6 IPS |
|
|
Face Detection (SP)
|
100% |
3144
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
1012
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
6188
73.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3203
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1312
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
4527
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6202
7.97 IPS |
|
|
Style Transfer (HP)
|
100% |
5607
7.21 IPS |
|
|
Style Transfer (Q)
|
98% |
15713
20.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1107
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3124
115.7 IPS |
|
|
Text Classification (SP)
|
100% |
1010
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
529
705.8 IPS |
|
|
Text Classification (Q)
|
97% |
1071
1.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
586
10.1 IPS |
|
|
Machine Translation (Q)
|
65% |
2190
44.0 IPS |
