iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1359
Single Precision Score
1686
Half Precision Score
444
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:43 PM |
| Views | 5 |
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% |
982
182.7 IPS |
|
|
Image Classification (HP)
|
100% |
1363
253.4 IPS |
|
|
Image Classification (Q)
|
96% |
160
30.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.10 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4593
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1840
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (HP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3791
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
4324
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3164
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4752
36.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8887
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10804
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3079
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2243
82.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
214
285.1 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.3 IPS |
|
|
Text Classification (Q)
|
93% |
260
349.5 IPS |
|
|
Machine Translation (SP)
|
100% |
535
9.22 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (Q)
|
98% |
487
8.41 IPS |
