iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1021
Single Precision Score
1557
Half Precision Score
1344
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 27 2025 02:35 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% |
489
91.0 IPS |
|
|
Image Classification (HP)
|
100% |
797
148.1 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
610
9.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
963
15.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1016
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2613
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2316
2.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2103
2.46 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
949
75.3 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (Q)
|
100% |
1467
17.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1755
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2738
21.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
2236
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5110
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
7937
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7091
9.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1244
45.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1180
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.5 IPS |
|
|
Text Classification (HP)
|
100% |
556
741.6 IPS |
|
|
Text Classification (Q)
|
93% |
552
741.4 IPS |
|
|
Machine Translation (SP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (HP)
|
99% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1260
21.8 IPS |
