iPad (8th generation)
Geekbench AI Score
523
Single Precision Score
900
Half Precision Score
778
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | jobieh |
| Upload Date | July 25 2025 03:36 AM |
| Views | 10 |
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% |
258
48.0 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.9 IPS |
|
|
Image Classification (Q)
|
96% |
294
54.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
261
4.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
529
8.57 IPS |
|
|
Image Segmentation (Q)
|
99% |
576
9.36 IPS |
|
|
Pose Estimation (SP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
711
0.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
850
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
637
50.6 IPS |
|
|
Object Detection (Q)
|
92% |
506
40.4 IPS |
|
|
Face Detection (SP)
|
100% |
809
9.61 IPS |
|
|
Face Detection (HP)
|
100% |
1704
20.2 IPS |
|
|
Face Detection (Q)
|
100% |
1076
12.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
770
5.94 IPS |
|
|
Depth Estimation (HP)
|
98% |
1406
10.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
888
6.94 IPS |
|
|
Style Transfer (SP)
|
100% |
1786
2.30 IPS |
|
|
Style Transfer (HP)
|
100% |
3290
4.23 IPS |
|
|
Style Transfer (Q)
|
96% |
3275
4.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
555
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
687
25.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
668
24.7 IPS |
|
|
Text Classification (SP)
|
100% |
286
381.8 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.5 IPS |
|
|
Text Classification (Q)
|
93% |
561
752.5 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (HP)
|
99% |
961
16.5 IPS |
|
|
Machine Translation (Q)
|
98% |
960
16.6 IPS |
