Acer Swift SFG14-63
Geekbench AI Score
6703
Single Precision Score
9331
Half Precision Score
5325
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MoP |
| Upload Date | February 08 2025 02:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD 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% |
2441
454.0 IPS |
|
|
Image Classification (HP)
|
100% |
3774
701.8 IPS |
|
|
Image Classification (Q)
|
100% |
2107
391.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3828
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4432
71.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3178
51.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
32705
38.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
55526
64.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
26350
30.9 IPS |
|
|
Object Detection (SP)
|
100% |
2339
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
2927
232.2 IPS |
|
|
Object Detection (Q)
|
87% |
2272
182.5 IPS |
|
|
Face Detection (SP)
|
100% |
5763
68.5 IPS |
|
|
Face Detection (HP)
|
100% |
9892
117.5 IPS |
|
|
Face Detection (Q)
|
97% |
4942
58.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
14728
113.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21616
166.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
12245
98.2 IPS |
|
|
Style Transfer (SP)
|
100% |
53415
68.7 IPS |
|
|
Style Transfer (HP)
|
100% |
87534
112.5 IPS |
|
|
Style Transfer (Q)
|
98% |
41209
53.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11804
435.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17214
635.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7369
272.9 IPS |
|
|
Text Classification (SP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2640
3.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1673
2.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2122
36.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2164
37.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1488
27.9 IPS |
