Acer Swift SFG14-63
Geekbench AI Score
3909
Single Precision Score
1714
Half Precision Score
6818
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | MoP |
| Upload Date | February 08 2025 02:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8845HS |
| 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% |
3503
651.5 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.1 IPS |
|
|
Image Classification (Q)
|
99% |
8037
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1157
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3598
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7088
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
5687
6.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
24343
28.5 IPS |
|
|
Object Detection (SP)
|
100% |
3116
247.2 IPS |
|
|
Object Detection (HP)
|
100% |
833
66.1 IPS |
|
|
Object Detection (Q)
|
86% |
7565
608.0 IPS |
|
|
Face Detection (SP)
|
100% |
5493
65.3 IPS |
|
|
Face Detection (HP)
|
100% |
1669
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
10384
123.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9500
73.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2648
20.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
7992
63.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16895
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13504
17.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25526
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2716
100.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2464
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3537
131.0 IPS |
|
|
Text Classification (SP)
|
100% |
1844
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
787
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
1858
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2108
36.3 IPS |
|
|
Machine Translation (HP)
|
100% |
732
12.6 IPS |
|
|
Machine Translation (Q)
|
65% |
2932
58.9 IPS |
