iPad (8th generation)
Geekbench AI Score
538
Single Precision Score
874
Half Precision Score
762
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Angus72 |
| Upload Date | August 31 2024 10:18 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad (8th generation) |
| Model ID | iPad11,6 |
| Motherboard | J171aAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
328
61.0 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (Q)
|
99% |
516
96.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
444
7.20 IPS |
|
|
Image Segmentation (Q)
|
100% |
434
7.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
923
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
968
1.13 IPS |
|
|
Pose Estimation (Q)
|
96% |
955
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.7 IPS |
|
|
Object Detection (HP)
|
99% |
582
46.2 IPS |
|
|
Object Detection (Q)
|
92% |
470
37.5 IPS |
|
|
Face Detection (SP)
|
100% |
742
8.82 IPS |
|
|
Face Detection (HP)
|
100% |
1444
17.2 IPS |
|
|
Face Detection (Q)
|
100% |
1027
12.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
689
5.31 IPS |
|
|
Depth Estimation (HP)
|
99% |
1204
9.30 IPS |
|
|
Depth Estimation (Q)
|
97% |
602
4.65 IPS |
|
|
Style Transfer (SP)
|
100% |
1873
2.41 IPS |
|
|
Style Transfer (HP)
|
100% |
3157
4.06 IPS |
|
|
Style Transfer (Q)
|
100% |
3490
4.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
560
20.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
762
28.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
618
22.9 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.5 IPS |
|
|
Text Classification (HP)
|
100% |
546
728.3 IPS |
|
|
Text Classification (Q)
|
93% |
558
748.9 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (HP)
|
98% |
890
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
884
15.3 IPS |
