iPad (8th generation)
Geekbench AI Score
620
Single Precision Score
1028
Half Precision Score
922
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 03:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
637
118.5 IPS |
|
|
Image Classification (Q)
|
96% |
524
97.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
402
6.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
696
11.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1082
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
1013
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
982
1.15 IPS |
|
|
Object Detection (SP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (HP)
|
99% |
668
53.0 IPS |
|
|
Object Detection (Q)
|
92% |
548
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
870
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1761
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
1186
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
901
6.94 IPS |
|
|
Depth Estimation (HP)
|
98% |
1571
12.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
1369
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2163
2.78 IPS |
|
|
Style Transfer (HP)
|
100% |
3571
4.59 IPS |
|
|
Style Transfer (Q)
|
96% |
3500
4.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
667
24.6 IPS |
|
|
Text Classification (SP)
|
100% |
277
370.4 IPS |
|
|
Text Classification (HP)
|
100% |
567
756.5 IPS |
|
|
Text Classification (Q)
|
93% |
565
758.7 IPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
99% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
98% |
979
16.9 IPS |
