iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1025
Single Precision Score
1566
Half Precision Score
1349
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 08 2025 04:02 PM |
| Views | 1 |
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% |
487
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.9 IPS |
|
|
Image Classification (Q)
|
96% |
635
118.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
608
9.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
953
15.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1019
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2659
3.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
2341
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2007
2.35 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
940
74.6 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1265
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2348
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1489
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1742
13.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
2683
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2242
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5123
6.59 IPS |
|
|
Style Transfer (HP)
|
100% |
7956
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7140
9.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1234
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.3 IPS |
|
|
Text Classification (HP)
|
100% |
551
736.0 IPS |
|
|
Text Classification (Q)
|
93% |
548
735.7 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
