iPad Pro 11-inch (2nd generation)
Geekbench AI Score
716
Single Precision Score
2445
Half Precision Score
447
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 07 2025 07:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
341
63.3 IPS |
|
|
Image Classification (HP)
|
100% |
2191
407.6 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
397
6.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
2226
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27260
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1534
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (Q)
|
94% |
204
16.3 IPS |
|
|
Face Detection (SP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6524
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1055
8.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
23182
178.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
603
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3553
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3521
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2544
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
968
35.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3710
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
497
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
267
356.8 IPS |
|
|
Text Classification (HP)
|
100% |
306
408.5 IPS |
|
|
Text Classification (Q)
|
93% |
305
409.0 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.56 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.56 IPS |
