iPad Pro 11-inch (2nd generation)
Geekbench AI Score
794
Single Precision Score
2489
Half Precision Score
469
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 29 2026 09:25 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
393
73.1 IPS |
|
|
Image Classification (HP)
|
100% |
2196
408.3 IPS |
|
|
Image Classification (Q)
|
99% |
175
32.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
313
5.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
99% |
242
3.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2513
2.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
27257
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1678
1.97 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
100% |
1627
129.0 IPS |
|
|
Object Detection (Q)
|
94% |
210
16.8 IPS |
|
|
Face Detection (SP)
|
100% |
992
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
6606
78.5 IPS |
|
|
Face Detection (Q)
|
100% |
312
3.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
1204
9.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
23189
178.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
669
5.23 IPS |
|
|
Style Transfer (SP)
|
100% |
3763
4.84 IPS |
|
|
Style Transfer (HP)
|
100% |
3746
4.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2660
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1123
41.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3240
119.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
475
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
261
348.1 IPS |
|
|
Text Classification (HP)
|
100% |
296
395.6 IPS |
|
|
Text Classification (Q)
|
93% |
294
394.3 IPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
98% |
451
7.79 IPS |
