iPad (8th generation)
Geekbench AI Score
508
Single Precision Score
912
Half Precision Score
824
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | jobieh |
| Upload Date | August 01 2025 10:09 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
565
105.1 IPS |
|
|
Image Classification (Q)
|
96% |
437
81.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
541
8.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
606
9.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
742
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
771
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (HP)
|
99% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
92% |
489
39.0 IPS |
|
|
Face Detection (SP)
|
100% |
787
9.35 IPS |
|
|
Face Detection (HP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (Q)
|
100% |
1044
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
752
5.79 IPS |
|
|
Depth Estimation (HP)
|
98% |
1403
10.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
1137
8.88 IPS |
|
|
Style Transfer (SP)
|
100% |
1960
2.52 IPS |
|
|
Style Transfer (HP)
|
100% |
3271
4.20 IPS |
|
|
Style Transfer (Q)
|
96% |
3131
4.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
687
25.4 IPS |
|
|
Text Classification (SP)
|
100% |
272
362.9 IPS |
|
|
Text Classification (HP)
|
100% |
563
751.0 IPS |
|
|
Text Classification (Q)
|
93% |
550
738.5 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (HP)
|
99% |
1018
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1032
17.8 IPS |
