iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1551
Half Precision Score
1344
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 07 2025 01:54 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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
90.8 IPS |
|
|
Image Classification (HP)
|
100% |
800
148.7 IPS |
|
|
Image Classification (Q)
|
96% |
627
117.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2645
3.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
2307
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
2125
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
545
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
952
75.5 IPS |
|
|
Object Detection (Q)
|
92% |
756
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
1261
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2330
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1477
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1765
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2659
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2216
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5063
6.51 IPS |
|
|
Style Transfer (HP)
|
100% |
7908
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7047
9.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1269
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1394
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1172
43.3 IPS |
|
|
Text Classification (SP)
|
100% |
289
385.4 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.2 IPS |
|
|
Text Classification (Q)
|
93% |
554
743.5 IPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1264
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
