iPad Pro 11-inch (2nd generation)
Geekbench AI Score
715
Single Precision Score
2428
Half Precision Score
447
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 06:37 PM |
| Views | 2 |
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
63.4 IPS |
|
|
Image Classification (HP)
|
100% |
2213
411.5 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
396
6.43 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27335
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1539
1.80 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (Q)
|
94% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
851
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6509
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
23155
178.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3581
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3524
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2543
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3645
134.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
495
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.3 IPS |
|
|
Text Classification (HP)
|
100% |
287
382.8 IPS |
|
|
Text Classification (Q)
|
93% |
303
406.6 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
98% |
383
6.61 IPS |
