iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1033
Single Precision Score
1588
Half Precision Score
1367
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 05:51 PM |
| Views | 3 |
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% |
494
91.8 IPS |
|
|
Image Classification (HP)
|
100% |
818
152.1 IPS |
|
|
Image Classification (Q)
|
96% |
649
121.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
605
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
965
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1020
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2645
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2327
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
1996
2.34 IPS |
|
|
Object Detection (SP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (HP)
|
99% |
968
76.8 IPS |
|
|
Object Detection (Q)
|
92% |
778
62.1 IPS |
|
|
Face Detection (SP)
|
100% |
1297
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
2432
28.9 IPS |
|
|
Face Detection (Q)
|
100% |
1535
18.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1770
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2735
21.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
2283
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5043
6.48 IPS |
|
|
Style Transfer (HP)
|
100% |
7889
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7094
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1293
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1240
45.8 IPS |
|
|
Text Classification (SP)
|
100% |
290
387.6 IPS |
|
|
Text Classification (HP)
|
100% |
562
750.2 IPS |
|
|
Text Classification (Q)
|
93% |
561
752.7 IPS |
|
|
Machine Translation (SP)
|
100% |
729
12.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1286
22.2 IPS |
