iPad Pro 11-inch (2nd generation)
Geekbench AI Score
799
Single Precision Score
2496
Half Precision Score
470
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:03 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
399
74.3 IPS |
|
|
Image Classification (HP)
|
100% |
2187
406.7 IPS |
|
|
Image Classification (Q)
|
99% |
171
31.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.01 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2619
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
27250
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1754
2.06 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
1668
132.3 IPS |
|
|
Object Detection (Q)
|
94% |
210
16.7 IPS |
|
|
Face Detection (SP)
|
100% |
994
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6659
79.1 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1206
9.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
22935
176.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
670
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3857
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3812
4.90 IPS |
|
|
Style Transfer (Q)
|
96% |
2689
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3299
121.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
476
17.6 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.8 IPS |
|
|
Text Classification (HP)
|
100% |
298
397.5 IPS |
|
|
Text Classification (Q)
|
93% |
295
396.4 IPS |
|
|
Machine Translation (SP)
|
100% |
540
9.30 IPS |
|
|
Machine Translation (HP)
|
100% |
446
7.69 IPS |
|
|
Machine Translation (Q)
|
98% |
443
7.66 IPS |
