iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1073
Single Precision Score
1631
Half Precision Score
1408
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2026 08:54 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
789
146.7 IPS |
|
|
Image Classification (Q)
|
96% |
627
117.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
962
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2557
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2346
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2115
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
547
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
92% |
758
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1268
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2353
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1485
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1766
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2693
20.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2235
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5019
6.45 IPS |
|
|
Style Transfer (HP)
|
100% |
7914
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7053
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1301
48.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1195
44.1 IPS |
|
|
Text Classification (SP)
|
99% |
463
617.8 IPS |
|
|
Text Classification (HP)
|
99% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
93% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1250
21.6 IPS |
