iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1071
Single Precision Score
1618
Half Precision Score
1403
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 29 2026 09:07 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
493
91.7 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
611
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1018
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2554
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2343
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2090
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
939
74.5 IPS |
|
|
Object Detection (Q)
|
92% |
757
60.4 IPS |
|
|
Face Detection (SP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2321
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1492
17.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1763
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2655
20.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2221
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5015
6.45 IPS |
|
|
Style Transfer (HP)
|
100% |
7822
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7089
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1295
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1408
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1178
43.5 IPS |
|
|
Text Classification (SP)
|
99% |
463
618.3 IPS |
|
|
Text Classification (HP)
|
99% |
871
1.16 KIPS |
|
|
Text Classification (Q)
|
93% |
864
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
713
12.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1247
21.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1238
21.4 IPS |
