iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1353
Single Precision Score
1686
Half Precision Score
440
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 03:02 AM |
| Views | 2 |
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% |
951
176.8 IPS |
|
|
Image Classification (HP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1843
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.8 IPS |
|
|
Object Detection (HP)
|
100% |
1314
104.3 IPS |
|
|
Object Detection (Q)
|
92% |
177
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3762
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
4356
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
3175
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4744
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.30 IPS |
|
|
Style Transfer (SP)
|
100% |
8876
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10785
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3059
3.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1541
56.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2219
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
214
285.7 IPS |
|
|
Text Classification (HP)
|
100% |
249
333.0 IPS |
|
|
Text Classification (Q)
|
93% |
258
345.7 IPS |
|
|
Machine Translation (SP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.58 IPS |
|
|
Machine Translation (Q)
|
98% |
482
8.34 IPS |
