iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1262
Single Precision Score
1554
Half Precision Score
421
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 22 2025 02:05 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
971
180.5 IPS |
|
|
Image Classification (HP)
|
100% |
1324
246.2 IPS |
|
|
Image Classification (Q)
|
96% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
370
5.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.25 IPS |
|
|
Image Segmentation (Q)
|
99% |
239
3.87 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4605
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1888
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
1007
79.9 IPS |
|
|
Object Detection (HP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (Q)
|
92% |
199
15.8 IPS |
|
|
Face Detection (SP)
|
100% |
3864
45.9 IPS |
|
|
Face Detection (HP)
|
100% |
4511
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
306
3.64 IPS |
|
|
Depth Estimation (SP)
|
100% |
3180
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4725
36.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
577
4.51 IPS |
|
|
Style Transfer (SP)
|
100% |
8892
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10887
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
3184
4.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1539
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
423
15.6 IPS |
|
|
Text Classification (SP)
|
100% |
99
132.6 IPS |
|
|
Text Classification (HP)
|
100% |
106
141.0 IPS |
|
|
Text Classification (Q)
|
93% |
101
136.1 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.32 IPS |
|
|
Machine Translation (Q)
|
98% |
484
8.36 IPS |
