iPad Pro 11-inch (2nd generation)
Geekbench AI Score
707
Single Precision Score
2361
Half Precision Score
429
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 12 2025 03:13 AM |
| 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% |
333
61.9 IPS |
|
|
Image Classification (HP)
|
100% |
2066
384.1 IPS |
|
|
Image Classification (Q)
|
99% |
162
30.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.86 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2154
2.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
27238
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1517
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (Q)
|
94% |
184
14.7 IPS |
|
|
Face Detection (SP)
|
100% |
852
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6449
76.6 IPS |
|
|
Face Detection (Q)
|
100% |
301
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1042
8.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
23360
180.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
599
4.68 IPS |
|
|
Style Transfer (SP)
|
100% |
3560
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3531
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2213
2.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
948
35.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3332
123.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
473
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.6 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.7 IPS |
|
|
Text Classification (Q)
|
93% |
296
397.9 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
98% |
375
6.48 IPS |
