Acer Swift SF14-11
Geekbench AI Score
2110
Single Precision Score
16224
Half Precision Score
36684
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | pila |
| Upload Date | April 22 2025 05:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Swift SF14-11 |
| Motherboard | SX1 Bluetang_SX1 |
| Power Plan | Zrwnowaony |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P64100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
718
133.5 IPS |
|
|
Image Classification (HP)
|
100% |
10869
2.02 KIPS |
|
|
Image Classification (Q)
|
99% |
18570
3.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
819
13.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8130
131.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17269
280.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5893
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
70474
82.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
239548
280.8 IPS |
|
|
Object Detection (SP)
|
100% |
894
70.9 IPS |
|
|
Object Detection (HP)
|
100% |
11580
918.5 IPS |
|
|
Object Detection (Q)
|
92% |
20458
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
1927
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
23504
279.3 IPS |
|
|
Face Detection (Q)
|
97% |
60588
722.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2526
19.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
42617
328.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
107651
859.2 IPS |
|
|
Style Transfer (SP)
|
100% |
14369
18.5 IPS |
|
|
Style Transfer (HP)
|
98% |
57623
74.3 IPS |
|
|
Style Transfer (Q)
|
98% |
266861
344.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2135
78.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30752
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
66798
2.47 KIPS |
|
|
Text Classification (SP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2493
3.33 KIPS |
|
|
Text Classification (Q)
|
95% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2462
42.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3960
68.2 IPS |
|
|
Machine Translation (Q)
|
67% |
6419
124.9 IPS |
