iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1006
Single Precision Score
1564
Half Precision Score
1357
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | August 01 2025 07:06 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
804
149.6 IPS |
|
|
Image Classification (Q)
|
96% |
658
122.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1017
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2564
2.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
2261
2.64 IPS |
|
|
Pose Estimation (Q)
|
96% |
2041
2.39 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
951
75.5 IPS |
|
|
Object Detection (Q)
|
92% |
763
60.9 IPS |
|
|
Face Detection (SP)
|
100% |
1266
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2331
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1489
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1730
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2707
20.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
2242
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4497
5.78 IPS |
|
|
Style Transfer (HP)
|
100% |
7673
9.86 IPS |
|
|
Style Transfer (Q)
|
96% |
6959
8.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1251
46.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1249
46.1 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.4 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.0 IPS |
|
|
Text Classification (Q)
|
93% |
553
741.9 IPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1271
21.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1267
21.9 IPS |
