iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1017
Single Precision Score
1559
Half Precision Score
1345
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 31 2025 08:41 PM |
| Views | 8 |
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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
803
149.4 IPS |
|
|
Image Classification (Q)
|
96% |
633
118.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
972
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1023
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2600
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2328
2.72 IPS |
|
|
Pose Estimation (Q)
|
96% |
2083
2.44 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
955
75.7 IPS |
|
|
Object Detection (Q)
|
92% |
761
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
2323
27.6 IPS |
|
|
Face Detection (Q)
|
100% |
1473
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1731
13.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2663
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2216
17.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5113
6.57 IPS |
|
|
Style Transfer (HP)
|
100% |
7873
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7099
9.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1248
46.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1433
52.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1176
43.4 IPS |
|
|
Text Classification (SP)
|
100% |
284
379.7 IPS |
|
|
Text Classification (HP)
|
100% |
561
748.2 IPS |
|
|
Text Classification (Q)
|
93% |
554
744.1 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1252
21.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1256
21.7 IPS |
