iPad (8th generation)
Geekbench AI Score
615
Single Precision Score
1014
Half Precision Score
900
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
347
64.6 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.4 IPS |
|
|
Image Classification (Q)
|
96% |
522
97.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (HP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
750
12.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1048
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1008
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
963
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
358
28.4 IPS |
|
|
Object Detection (HP)
|
99% |
665
52.7 IPS |
|
|
Object Detection (Q)
|
92% |
546
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
881
10.5 IPS |
|
|
Face Detection (HP)
|
100% |
1760
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
1177
14.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
876
6.75 IPS |
|
|
Depth Estimation (HP)
|
98% |
1502
11.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1377
10.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2135
2.74 IPS |
|
|
Style Transfer (HP)
|
100% |
3710
4.77 IPS |
|
|
Style Transfer (Q)
|
96% |
3522
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
607
22.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
812
30.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
602
22.2 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.0 IPS |
|
|
Text Classification (HP)
|
100% |
552
736.2 IPS |
|
|
Text Classification (Q)
|
93% |
561
752.8 IPS |
|
|
Machine Translation (SP)
|
100% |
541
9.31 IPS |
|
|
Machine Translation (HP)
|
98% |
866
15.0 IPS |
|
|
Machine Translation (Q)
|
98% |
885
15.3 IPS |
