iPad Pro 11-inch (2nd generation)
Geekbench AI Score
708
Single Precision Score
2396
Half Precision Score
437
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 02 2025 02:49 AM |
| Views | 5 |
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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
2161
401.8 IPS |
|
|
Image Classification (Q)
|
99% |
161
30.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2183
2.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
27282
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1520
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (Q)
|
94% |
192
15.3 IPS |
|
|
Face Detection (SP)
|
100% |
862
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6604
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1043
8.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
22942
176.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
601
4.69 IPS |
|
|
Style Transfer (SP)
|
100% |
3547
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3508
4.51 IPS |
|
|
Style Transfer (Q)
|
96% |
2534
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
947
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3503
129.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
478
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.7 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.9 IPS |
|
|
Text Classification (Q)
|
93% |
295
395.3 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.48 IPS |
