iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
701
Single Precision Score
2462
Half Precision Score
445
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 08:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad Pro 12.9-inch (4th generation) |
| Model ID | iPad8,12 |
| Motherboard | J421AP |
| 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% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
2355
438.0 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
223
3.61 IPS |
|
|
Pose Estimation (SP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
27382
32.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
1503
1.76 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
1478
117.2 IPS |
|
|
Object Detection (Q)
|
94% |
211
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.89 IPS |
|
|
Face Detection (HP)
|
100% |
6517
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
1036
7.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
22656
174.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
597
4.66 IPS |
|
|
Style Transfer (SP)
|
100% |
3448
4.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3415
4.39 IPS |
|
|
Style Transfer (Q)
|
96% |
2476
3.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3721
137.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
503
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
262
350.0 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.9 IPS |
|
|
Text Classification (Q)
|
93% |
302
405.3 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
98% |
376
6.50 IPS |
