Qualcomm SA8295 Cockpit
Geekbench AI Score
355
Single Precision Score
354
Half Precision Score
572
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 13 2024 11:55 AM |
| Views | 212 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Qualcomm SA8295 Cockpit |
| Model ID | Qualcomm SA8295 Cockpit |
| Motherboard | msmnile |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3403 revision 0 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 4 Cores @ 2.25 GHz |
| Cluster 2 | 4 Cores @ 2.59 GHz |
| Memory Information | |
|---|---|
| Size | 16.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
217
40.4 IPS |
|
|
Image Classification (HP)
|
100% |
221
41.1 IPS |
|
|
Image Classification (Q)
|
99% |
382
71.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
275
4.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
276
4.47 IPS |
|
|
Image Segmentation (Q)
|
98% |
431
7.01 IPS |
|
|
Pose Estimation (SP)
|
100% |
359
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
356
0.42 IPS |
|
|
Pose Estimation (Q)
|
98% |
918
1.07 IPS |
|
|
Object Detection (SP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (HP)
|
100% |
217
17.2 IPS |
|
|
Object Detection (Q)
|
87% |
399
32.0 IPS |
|
|
Face Detection (SP)
|
100% |
513
6.10 IPS |
|
|
Face Detection (HP)
|
100% |
515
6.12 IPS |
|
|
Face Detection (Q)
|
97% |
941
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.51 IPS |
|
|
Depth Estimation (HP)
|
99% |
458
3.53 IPS |
|
|
Depth Estimation (Q)
|
64% |
764
6.93 IPS |
|
|
Style Transfer (SP)
|
100% |
719
0.92 IPS |
|
|
Style Transfer (HP)
|
100% |
720
0.93 IPS |
|
|
Style Transfer (Q)
|
98% |
1485
1.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
238
8.78 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
237
8.73 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
558
20.7 IPS |
|
|
Text Classification (SP)
|
100% |
330
440.2 IPS |
|
|
Text Classification (HP)
|
100% |
315
421.1 IPS |
|
|
Text Classification (Q)
|
91% |
376
505.4 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
57% |
280
6.83 IPS |
