Acer Swift SF14-61T
Geekbench AI Score
2525
Single Precision Score
1234
Half Precision Score
5998
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 17 2025 08:34 AM |
| Views | 6 |
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% |
2255
419.3 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
99% |
5574
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
832
13.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
689
11.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
7311
118.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4674
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
3980
4.64 IPS |
|
|
Pose Estimation (Q)
|
94% |
18418
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2008
159.2 IPS |
|
|
Object Detection (HP)
|
100% |
556
44.1 IPS |
|
|
Object Detection (Q)
|
86% |
5997
482.0 IPS |
|
|
Face Detection (SP)
|
100% |
4221
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
1139
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
8503
101.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5063
39.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1892
14.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
10316
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9613
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9431
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
27214
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1363
50.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2660
98.5 IPS |
|
|
Text Classification (SP)
|
100% |
1127
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
573
764.5 IPS |
|
|
Text Classification (Q)
|
97% |
1096
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1614
27.8 IPS |
|
|
Machine Translation (HP)
|
100% |
691
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
1927
38.7 IPS |
