iPad (8th generation)
Geekbench AI Score
629
Single Precision Score
1040
Half Precision Score
930
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 07:46 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% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
620
115.4 IPS |
|
|
Image Classification (Q)
|
96% |
503
93.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
372
6.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
718
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1079
1.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
961
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
942
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
99% |
653
51.8 IPS |
|
|
Object Detection (Q)
|
92% |
548
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
1787
21.2 IPS |
|
|
Face Detection (Q)
|
100% |
1163
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
900
6.93 IPS |
|
|
Depth Estimation (HP)
|
98% |
1616
12.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
1476
11.5 IPS |
|
|
Style Transfer (SP)
|
100% |
2217
2.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3758
4.83 IPS |
|
|
Style Transfer (Q)
|
96% |
3574
4.61 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
636
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
882
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
751
27.7 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.3 IPS |
|
|
Text Classification (HP)
|
100% |
566
754.9 IPS |
|
|
Text Classification (Q)
|
93% |
565
758.3 IPS |
|
|
Machine Translation (SP)
|
100% |
584
10.1 IPS |
|
|
Machine Translation (HP)
|
99% |
1036
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1002
17.3 IPS |
