iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
714
Single Precision Score
2452
Half Precision Score
449
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 01 2024 01:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
334
62.2 IPS |
|
|
Image Classification (HP)
|
100% |
2293
426.4 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
304
4.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.48 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
2218
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
27620
32.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
1538
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
389
30.9 IPS |
|
|
Object Detection (HP)
|
100% |
1459
115.7 IPS |
|
|
Object Detection (Q)
|
94% |
208
16.6 IPS |
|
|
Face Detection (SP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1055
8.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
22760
175.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
605
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
3561
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3482
4.48 IPS |
|
|
Style Transfer (Q)
|
96% |
2537
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3604
133.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
498
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.9 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.2 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.4 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.59 IPS |
|
|
Machine Translation (Q)
|
98% |
381
6.58 IPS |
