Acer Swift SF14-61T
Geekbench AI Score
8230
Single Precision Score
11159
Half Precision Score
6203
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 09:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
3114
579.2 IPS |
|
|
Image Classification (HP)
|
100% |
4626
860.2 IPS |
|
|
Image Classification (Q)
|
100% |
2794
519.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4660
75.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5365
87.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3747
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
39502
46.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
62776
73.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
31624
37.0 IPS |
|
|
Object Detection (SP)
|
100% |
3172
251.6 IPS |
|
|
Object Detection (HP)
|
100% |
4444
352.5 IPS |
|
|
Object Detection (Q)
|
87% |
2892
232.2 IPS |
|
|
Face Detection (SP)
|
100% |
6939
82.5 IPS |
|
|
Face Detection (HP)
|
100% |
12175
144.7 IPS |
|
|
Face Detection (Q)
|
97% |
5620
67.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18876
145.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27951
215.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
15060
120.8 IPS |
|
|
Style Transfer (SP)
|
100% |
59441
76.4 IPS |
|
|
Style Transfer (HP)
|
100% |
75652
97.3 IPS |
|
|
Style Transfer (Q)
|
98% |
46315
59.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13484
497.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20394
753.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8931
330.7 IPS |
|
|
Text Classification (SP)
|
100% |
2044
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (Q)
|
97% |
1496
2.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
3658
63.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3645
62.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1684
31.6 IPS |
