iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
386
Single Precision Score
608
Half Precision Score
551
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 02:32 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
202
37.6 IPS |
|
|
Image Classification (HP)
|
100% |
381
70.8 IPS |
|
|
Image Classification (Q)
|
96% |
322
60.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
262
4.26 IPS |
|
|
Image Segmentation (HP)
|
100% |
427
6.92 IPS |
|
|
Image Segmentation (Q)
|
99% |
487
7.91 IPS |
|
|
Pose Estimation (SP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
734
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
721
0.84 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
99% |
408
32.4 IPS |
|
|
Object Detection (Q)
|
92% |
358
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
632
7.51 IPS |
|
|
Face Detection (HP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (Q)
|
100% |
821
9.75 IPS |
|
|
Depth Estimation (SP)
|
100% |
625
4.82 IPS |
|
|
Depth Estimation (HP)
|
98% |
1064
8.22 IPS |
|
|
Depth Estimation (Q)
|
85% |
857
6.70 IPS |
|
|
Style Transfer (SP)
|
100% |
1385
1.78 IPS |
|
|
Style Transfer (HP)
|
100% |
1745
2.24 IPS |
|
|
Style Transfer (Q)
|
96% |
1621
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
338
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
398
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
360
13.3 IPS |
|
|
Text Classification (SP)
|
100% |
152
203.0 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.0 IPS |
|
|
Text Classification (Q)
|
93% |
265
356.3 IPS |
|
|
Machine Translation (SP)
|
100% |
304
5.24 IPS |
|
|
Machine Translation (HP)
|
99% |
614
10.6 IPS |
|
|
Machine Translation (Q)
|
98% |
591
10.2 IPS |
