iPad (8th generation)
Geekbench AI Score
610
Single Precision Score
1021
Half Precision Score
909
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 02 2025 12:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
363
67.5 IPS |
|
|
Image Classification (HP)
|
100% |
642
119.4 IPS |
|
|
Image Classification (Q)
|
96% |
523
97.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
406
6.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
757
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1055
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
991
1.16 IPS |
|
|
Pose Estimation (Q)
|
96% |
982
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
326
25.8 IPS |
|
|
Object Detection (HP)
|
99% |
661
52.4 IPS |
|
|
Object Detection (Q)
|
92% |
545
43.5 IPS |
|
|
Face Detection (SP)
|
100% |
908
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1749
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1167
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
844
6.50 IPS |
|
|
Depth Estimation (HP)
|
98% |
1555
12.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
1277
9.98 IPS |
|
|
Style Transfer (SP)
|
100% |
1989
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3556
4.57 IPS |
|
|
Style Transfer (Q)
|
96% |
3349
4.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
585
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
814
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
702
25.9 IPS |
|
|
Text Classification (SP)
|
100% |
279
372.8 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.6 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.1 IPS |
|
|
Machine Translation (SP)
|
100% |
567
9.77 IPS |
|
|
Machine Translation (HP)
|
98% |
942
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
941
16.3 IPS |
