iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1350
Single Precision Score
1683
Half Precision Score
441
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:26 AM |
| Views | 4 |
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% |
968
180.0 IPS |
|
|
Image Classification (HP)
|
100% |
1285
238.9 IPS |
|
|
Image Classification (Q)
|
96% |
153
28.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3187
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4617
5.39 IPS |
|
|
Pose Estimation (Q)
|
96% |
1822
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
1004
79.7 IPS |
|
|
Object Detection (HP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (Q)
|
92% |
178
14.2 IPS |
|
|
Face Detection (SP)
|
100% |
3602
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
4335
51.5 IPS |
|
|
Face Detection (Q)
|
100% |
296
3.51 IPS |
|
|
Depth Estimation (SP)
|
100% |
3184
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4734
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
551
4.31 IPS |
|
|
Style Transfer (SP)
|
100% |
8893
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10803
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
3085
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
211
281.7 IPS |
|
|
Text Classification (HP)
|
100% |
252
336.9 IPS |
|
|
Text Classification (Q)
|
93% |
263
353.0 IPS |
|
|
Machine Translation (SP)
|
100% |
532
9.16 IPS |
|
|
Machine Translation (HP)
|
100% |
483
8.33 IPS |
|
|
Machine Translation (Q)
|
98% |
486
8.40 IPS |
