iPad (8th generation)
Geekbench AI Score
639
Single Precision Score
1050
Half Precision Score
944
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 12:55 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
390
72.6 IPS |
|
|
Image Classification (HP)
|
100% |
652
121.2 IPS |
|
|
Image Classification (Q)
|
96% |
534
99.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
766
12.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1111
1.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
1046
1.22 IPS |
|
|
Pose Estimation (Q)
|
96% |
998
1.17 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.8 IPS |
|
|
Object Detection (HP)
|
99% |
678
53.8 IPS |
|
|
Object Detection (Q)
|
92% |
590
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
879
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1733
20.6 IPS |
|
|
Face Detection (Q)
|
100% |
1152
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
923
7.11 IPS |
|
|
Depth Estimation (HP)
|
98% |
1600
12.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1391
10.9 IPS |
|
|
Style Transfer (SP)
|
100% |
2155
2.77 IPS |
|
|
Style Transfer (HP)
|
100% |
3617
4.65 IPS |
|
|
Style Transfer (Q)
|
96% |
3631
4.69 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
633
23.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
870
32.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
733
27.1 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.8 IPS |
|
|
Text Classification (HP)
|
100% |
567
756.6 IPS |
|
|
Text Classification (Q)
|
93% |
563
755.0 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (HP)
|
99% |
1009
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
975
16.8 IPS |
