iPad Pro 11-inch (2nd generation)
Geekbench AI Score
712
Single Precision Score
2423
Half Precision Score
446
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 17 2025 09:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| 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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
2210
411.0 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.47 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
2224
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
27312
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1543
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1370
108.7 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
848
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6415
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
22591
174.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
604
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3554
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3522
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2539
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3630
134.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
494
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.4 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.6 IPS |
|
|
Text Classification (Q)
|
93% |
301
403.7 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
381
6.58 IPS |
