iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1024
Single Precision Score
1576
Half Precision Score
1352
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 07:02 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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
819
152.4 IPS |
|
|
Image Classification (Q)
|
96% |
644
120.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1009
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2649
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2371
2.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
2062
2.42 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
945
74.9 IPS |
|
|
Object Detection (Q)
|
92% |
760
60.6 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1485
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1750
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2684
20.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
2246
17.6 IPS |
|
|
Style Transfer (SP)
|
100% |
5176
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
7972
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7125
9.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1511
55.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1232
45.5 IPS |
|
|
Text Classification (SP)
|
100% |
288
383.9 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.8 IPS |
|
|
Text Classification (Q)
|
93% |
549
736.5 IPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
