iPad (8th generation)
Geekbench AI Score
641
Single Precision Score
1043
Half Precision Score
949
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 23 2025 11:48 AM |
| Views | 1 |
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% |
371
69.0 IPS |
|
|
Image Classification (HP)
|
100% |
647
120.3 IPS |
|
|
Image Classification (Q)
|
96% |
536
100.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
413
6.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
778
12.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1051
1.23 IPS |
|
|
Pose Estimation (Q)
|
96% |
1029
1.21 IPS |
|
|
Object Detection (SP)
|
100% |
351
27.8 IPS |
|
|
Object Detection (HP)
|
99% |
663
52.6 IPS |
|
|
Object Detection (Q)
|
92% |
546
43.6 IPS |
|
|
Face Detection (SP)
|
100% |
924
11.0 IPS |
|
|
Face Detection (HP)
|
100% |
1761
20.9 IPS |
|
|
Face Detection (Q)
|
100% |
1214
14.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
916
7.06 IPS |
|
|
Depth Estimation (HP)
|
98% |
1626
12.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
1402
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2149
2.76 IPS |
|
|
Style Transfer (HP)
|
100% |
3616
4.65 IPS |
|
|
Style Transfer (Q)
|
96% |
3614
4.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
835
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
703
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.0 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.1 IPS |
|
|
Text Classification (Q)
|
93% |
568
761.8 IPS |
|
|
Machine Translation (SP)
|
100% |
598
10.3 IPS |
|
|
Machine Translation (HP)
|
99% |
971
16.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1031
17.8 IPS |
