iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1020
Single Precision Score
1552
Half Precision Score
1347
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 01:38 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
487
90.5 IPS |
|
|
Image Classification (HP)
|
100% |
795
147.9 IPS |
|
|
Image Classification (Q)
|
96% |
631
117.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1011
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2618
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2336
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2214
2.59 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
948
75.2 IPS |
|
|
Object Detection (Q)
|
92% |
758
60.5 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2317
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1478
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1751
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2722
21.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2226
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5114
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
7889
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7057
9.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1227
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1381
51.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1149
42.4 IPS |
|
|
Text Classification (SP)
|
100% |
289
386.2 IPS |
|
|
Text Classification (HP)
|
100% |
555
740.7 IPS |
|
|
Text Classification (Q)
|
93% |
549
737.0 IPS |
|
|
Machine Translation (SP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1260
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
