iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1032
Single Precision Score
1576
Half Precision Score
1340
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 05:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro 12.9-inch (4th generation) |
| Model ID | iPad8,11 |
| Motherboard | J420AP |
| CPU Information | |
|---|---|
| Name | Apple A12Z Bionic |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (HP)
|
100% |
820
152.5 IPS |
|
|
Image Classification (Q)
|
96% |
636
118.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
606
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
949
15.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1007
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2674
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2367
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
1884
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
541
42.9 IPS |
|
|
Object Detection (HP)
|
99% |
945
75.0 IPS |
|
|
Object Detection (Q)
|
92% |
756
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1272
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1498
17.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1766
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2720
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2239
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5176
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
7961
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7151
9.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1529
56.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1236
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
292
390.2 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.9 IPS |
|
|
Text Classification (Q)
|
93% |
554
744.2 IPS |
|
|
Machine Translation (SP)
|
100% |
727
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1255
21.7 IPS |
