iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1560
Half Precision Score
1359
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 07:18 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
809
150.4 IPS |
|
|
Image Classification (Q)
|
96% |
651
121.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1023
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2615
3.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2338
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2188
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
954
75.7 IPS |
|
|
Object Detection (Q)
|
92% |
765
61.0 IPS |
|
|
Face Detection (SP)
|
100% |
1264
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2320
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1480
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1762
13.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2664
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2234
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5134
6.60 IPS |
|
|
Style Transfer (HP)
|
100% |
7853
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7079
9.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1259
46.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1419
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1175
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.8 IPS |
|
|
Text Classification (HP)
|
100% |
559
745.7 IPS |
|
|
Text Classification (Q)
|
93% |
557
747.3 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1259
21.8 IPS |
