iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1361
Single Precision Score
1681
Half Precision Score
441
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 02:43 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1008
187.5 IPS |
|
|
Image Classification (HP)
|
100% |
1346
250.2 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
369
5.98 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3194
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
4603
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1873
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
998
79.1 IPS |
|
|
Object Detection (HP)
|
100% |
1308
103.7 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3779
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
4200
49.9 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
3168
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4741
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
554
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
8881
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10797
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3023
3.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
214
286.2 IPS |
|
|
Text Classification (HP)
|
100% |
253
337.8 IPS |
|
|
Text Classification (Q)
|
93% |
256
343.2 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (Q)
|
98% |
489
8.45 IPS |
