iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1023
Single Precision Score
1566
Half Precision Score
1360
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | aashutoshhawaldar |
| Upload Date | October 24 2025 01:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
486
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
793
147.5 IPS |
|
|
Image Classification (Q)
|
96% |
636
118.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
960
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1015
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2625
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2373
2.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
2239
2.62 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
955
75.7 IPS |
|
|
Object Detection (Q)
|
92% |
758
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1278
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1480
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1747
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2723
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2236
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5136
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
7971
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7114
9.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1237
45.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1472
54.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1209
44.6 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.3 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.1 IPS |
|
|
Text Classification (Q)
|
93% |
552
740.7 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1261
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
