Acer Swift SF14-61T
Geekbench AI Score
4101
Single Precision Score
4039
Half Precision Score
10448
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 07 2025 09:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen AI 9 365 w/ Radeon 880M |
| 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% |
2183
405.9 IPS |
|
|
Image Classification (HP)
|
100% |
2141
398.1 IPS |
|
|
Image Classification (Q)
|
100% |
7160
1.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2923
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
7571
122.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5668
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
5634
6.57 IPS |
|
|
Pose Estimation (Q)
|
98% |
19821
23.2 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
2157
171.1 IPS |
|
|
Object Detection (Q)
|
88% |
6068
486.5 IPS |
|
|
Face Detection (SP)
|
100% |
6072
72.2 IPS |
|
|
Face Detection (HP)
|
100% |
6006
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
20178
239.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6224
47.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6436
49.6 IPS |
|
|
Depth Estimation (Q)
|
88% |
17823
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15476
19.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16503
21.2 IPS |
|
|
Style Transfer (Q)
|
98% |
46863
60.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3080
113.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3049
112.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8256
305.8 IPS |
|
|
Text Classification (SP)
|
100% |
2226
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2354
3.14 KIPS |
|
|
Text Classification (Q)
|
92% |
3421
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3320
57.2 IPS |
|
|
Machine Translation (Q)
|
100% |
4997
86.1 IPS |
