iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1031
Single Precision Score
1575
Half Precision Score
1358
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 02:55 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% |
494
91.9 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (Q)
|
96% |
643
120.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
609
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1006
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2676
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2365
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
2081
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
92% |
757
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1486
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1767
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2735
21.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
2238
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5163
6.64 IPS |
|
|
Style Transfer (HP)
|
100% |
7974
10.3 IPS |
|
|
Style Transfer (Q)
|
96% |
7164
9.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1304
48.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1234
45.6 IPS |
|
|
Text Classification (SP)
|
100% |
288
384.0 IPS |
|
|
Text Classification (HP)
|
100% |
554
738.9 IPS |
|
|
Text Classification (Q)
|
93% |
568
762.3 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1258
21.7 IPS |
