iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1074
Single Precision Score
1636
Half Precision Score
1410
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:34 AM |
| Views | 4 |
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% |
491
91.3 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.7 IPS |
|
|
Image Classification (Q)
|
96% |
624
116.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2547
2.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2345
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2098
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
947
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
762
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2358
28.0 IPS |
|
|
Face Detection (Q)
|
100% |
1490
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1760
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2730
21.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
2223
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5028
6.46 IPS |
|
|
Style Transfer (HP)
|
100% |
7902
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7059
9.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1298
47.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1459
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1190
44.0 IPS |
|
|
Text Classification (SP)
|
99% |
469
626.1 IPS |
|
|
Text Classification (HP)
|
99% |
867
1.16 KIPS |
|
|
Text Classification (Q)
|
93% |
872
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
717
12.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1258
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1251
21.6 IPS |
