iPad Pro 11-inch (2nd generation)
Geekbench AI Score
714
Single Precision Score
2428
Half Precision Score
447
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 11:00 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
335
62.3 IPS |
|
|
Image Classification (HP)
|
100% |
2218
412.6 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
2243
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
27262
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1553
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1371
108.7 IPS |
|
|
Object Detection (Q)
|
94% |
206
16.4 IPS |
|
|
Face Detection (SP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6468
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1057
8.14 IPS |
|
|
Depth Estimation (HP)
|
99% |
22355
172.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3567
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2550
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3641
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
494
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.1 IPS |
|
|
Text Classification (HP)
|
100% |
301
402.3 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.3 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
98% |
379
6.54 IPS |
