Acer SFA14-11
Geekbench AI Score
1119
Single Precision Score
442
Half Precision Score
432
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| User | Clear119 |
| Upload Date | March 25 2025 02:13 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| 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% |
487
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
176
32.7 IPS |
|
|
Image Classification (Q)
|
99% |
263
49.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
587
9.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
235
3.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
304
4.95 IPS |
|
|
Pose Estimation (SP)
|
100% |
2826
3.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
632
0.74 IPS |
|
|
Pose Estimation (Q)
|
94% |
660
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (HP)
|
99% |
213
16.9 IPS |
|
|
Object Detection (Q)
|
85% |
279
22.5 IPS |
|
|
Face Detection (SP)
|
100% |
1628
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
328
3.89 IPS |
|
|
Face Detection (Q)
|
97% |
547
6.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
1555
12.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
616
4.76 IPS |
|
|
Depth Estimation (Q)
|
77% |
580
4.65 IPS |
|
|
Style Transfer (SP)
|
100% |
5354
6.88 IPS |
|
|
Style Transfer (HP)
|
100% |
2080
2.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1353
1.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
617
22.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
328
12.2 IPS |
|
|
Text Classification (SP)
|
100% |
1253
1.67 KIPS |
|
|
Text Classification (HP)
|
100% |
317
422.6 IPS |
|
|
Text Classification (Q)
|
97% |
265
355.3 IPS |
|
|
Machine Translation (SP)
|
100% |
987
17.0 IPS |
|
|
Machine Translation (HP)
|
99% |
912
15.8 IPS |
|
|
Machine Translation (Q)
|
70% |
418
7.84 IPS |
