iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1361
Single Precision Score
1700
Half Precision Score
446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 05:57 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
985
183.2 IPS |
|
|
Image Classification (HP)
|
100% |
1343
249.8 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (HP)
|
100% |
386
6.26 IPS |
|
|
Image Segmentation (Q)
|
99% |
236
3.83 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4671
5.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
1899
2.22 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
1317
104.4 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3689
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
4461
53.0 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
3180
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4732
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8879
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10799
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3058
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1537
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2264
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
213
284.3 IPS |
|
|
Text Classification (HP)
|
100% |
254
339.3 IPS |
|
|
Text Classification (Q)
|
93% |
256
343.8 IPS |
|
|
Machine Translation (SP)
|
100% |
536
9.23 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.35 IPS |
|
|
Machine Translation (Q)
|
98% |
491
8.48 IPS |
