Acer SFA14-11
Geekbench AI Score
1058
Single Precision Score
1659
Half Precision Score
3341
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | Clear119 |
| Upload Date | March 25 2025 02:17 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer SFA14-11 |
| Motherboard | Acer QX326 gen4 |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
341
63.5 IPS |
|
|
Image Classification (HP)
|
100% |
1197
222.7 IPS |
|
|
Image Classification (Q)
|
99% |
2722
507.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
472
7.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
1103
17.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1103
17.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2263
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3724
4.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
7178
8.42 IPS |
|
|
Object Detection (SP)
|
100% |
344
27.3 IPS |
|
|
Object Detection (HP)
|
99% |
690
54.9 IPS |
|
|
Object Detection (Q)
|
86% |
3030
243.5 IPS |
|
|
Face Detection (SP)
|
100% |
1145
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
3146
37.4 IPS |
|
|
Face Detection (Q)
|
97% |
4821
57.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1548
11.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2093
16.2 IPS |
|
|
Depth Estimation (Q)
|
79% |
6465
51.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6511
8.37 IPS |
|
|
Style Transfer (HP)
|
100% |
7617
9.79 IPS |
|
|
Style Transfer (Q)
|
98% |
18099
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
983
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1096
40.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2553
94.5 IPS |
|
|
Text Classification (SP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
478
638.4 IPS |
|
|
Text Classification (Q)
|
97% |
1070
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1369
23.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1778
30.7 IPS |
|
|
Machine Translation (Q)
|
65% |
1727
34.7 IPS |
