iPad Pro 11-inch (2nd generation)
Geekbench AI Score
709
Single Precision Score
2369
Half Precision Score
435
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 04 2025 07:32 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
338
62.8 IPS |
|
|
Image Classification (HP)
|
100% |
2206
410.3 IPS |
|
|
Image Classification (Q)
|
99% |
162
30.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
363
5.88 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2199
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
27226
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1524
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (HP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (Q)
|
94% |
186
14.8 IPS |
|
|
Face Detection (SP)
|
100% |
846
10.0 IPS |
|
|
Face Detection (HP)
|
100% |
6444
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1044
8.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
23048
177.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
599
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
3570
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3523
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2541
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3267
120.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
467
17.3 IPS |
|
|
Text Classification (SP)
|
100% |
259
346.0 IPS |
|
|
Text Classification (HP)
|
100% |
299
399.0 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.1 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
375
6.46 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.46 IPS |
