iPad Pro 11-inch (2nd generation)
Geekbench AI Score
708
Single Precision Score
2366
Half Precision Score
433
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 19 2025 01:34 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
336
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
2073
385.6 IPS |
|
|
Image Classification (Q)
|
99% |
157
29.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2203
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
27282
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1521
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
377
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
1314
104.2 IPS |
|
|
Object Detection (Q)
|
94% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6421
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1039
8.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
22871
176.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
599
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
3554
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2545
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3298
121.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
257
343.5 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.2 IPS |
|
|
Text Classification (Q)
|
93% |
295
395.9 IPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.54 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.48 IPS |
