iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1023
Single Precision Score
1571
Half Precision Score
1356
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 29 2025 03:56 PM |
| Views | 11 |
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% |
490
91.1 IPS |
|
|
Image Classification (HP)
|
100% |
822
152.9 IPS |
|
|
Image Classification (Q)
|
96% |
633
118.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
958
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1014
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2647
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2131
2.50 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
945
75.0 IPS |
|
|
Object Detection (Q)
|
92% |
758
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2346
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1485
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1739
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2680
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2242
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5105
6.56 IPS |
|
|
Style Transfer (HP)
|
100% |
7953
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7145
9.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1274
47.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1530
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1230
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.6 IPS |
|
|
Text Classification (HP)
|
100% |
550
734.4 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.3 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
