iPad Pro 11-inch (2nd generation)
Geekbench AI Score
709
Single Precision Score
2360
Half Precision Score
433
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 31 2025 07:19 PM |
| Views | 11 |
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% |
331
61.6 IPS |
|
|
Image Classification (HP)
|
100% |
2088
388.2 IPS |
|
|
Image Classification (Q)
|
99% |
159
29.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
376
6.09 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2205
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
27224
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1525
1.79 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (HP)
|
100% |
1333
105.7 IPS |
|
|
Object Detection (Q)
|
94% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6416
76.2 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1046
8.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
22996
177.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
600
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
3567
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3532
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2545
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
954
35.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3250
120.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
467
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.3 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.8 IPS |
|
|
Text Classification (Q)
|
93% |
295
396.0 IPS |
|
|
Machine Translation (SP)
|
100% |
487
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
98% |
374
6.47 IPS |
