Acer Swift SF14-61T
Geekbench AI Score
3011
Single Precision Score
1401
Half Precision Score
5794
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | kbuck320 |
| Upload Date | July 03 2025 07:53 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-61T |
| Motherboard | STX Beluga_SKF |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI 9 365 |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | AuthenticAMD Family 26 Model 36 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (Q)
|
99% |
6309
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
8988
146.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6460
7.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
5135
5.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
22947
26.9 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
623
49.4 IPS |
|
|
Object Detection (Q)
|
86% |
6042
485.6 IPS |
|
|
Face Detection (SP)
|
100% |
5553
66.0 IPS |
|
|
Face Detection (HP)
|
100% |
1299
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
8995
107.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6490
50.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2041
15.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
6668
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12051
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9924
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
18940
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1679
62.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1587
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1525
56.5 IPS |
|
|
Text Classification (SP)
|
100% |
1190
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
635
848.1 IPS |
|
|
Text Classification (Q)
|
97% |
1180
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
2050
35.3 IPS |
|
|
Machine Translation (HP)
|
100% |
765
13.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2654
53.3 IPS |
