Acer Swift SFG14-63
Geekbench AI Score
6759
Single Precision Score
8694
Half Precision Score
5267
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | nano-onan |
| Upload Date | December 03 2025 08:54 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
2750
511.4 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.3 IPS |
|
|
Image Classification (Q)
|
100% |
2528
470.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3791
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3577
58.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3063
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
33991
39.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
55888
65.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
26382
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2434
193.1 IPS |
|
|
Object Detection (HP)
|
100% |
2954
234.3 IPS |
|
|
Object Detection (Q)
|
87% |
2196
176.4 IPS |
|
|
Face Detection (SP)
|
100% |
5425
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
9242
109.8 IPS |
|
|
Face Detection (Q)
|
97% |
4794
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15045
115.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
20411
157.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12157
97.5 IPS |
|
|
Style Transfer (SP)
|
100% |
51960
66.8 IPS |
|
|
Style Transfer (HP)
|
100% |
81827
105.2 IPS |
|
|
Style Transfer (Q)
|
98% |
40790
52.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10548
389.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14375
530.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7480
277.0 IPS |
|
|
Text Classification (SP)
|
100% |
1831
2.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1849
2.47 KIPS |
|
|
Text Classification (Q)
|
97% |
1384
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2817
48.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3002
51.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1491
28.0 IPS |
