iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1024
Single Precision Score
1559
Half Precision Score
1353
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Kokkinho |
| Upload Date | April 30 2025 04:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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% |
486
90.3 IPS |
|
|
Image Classification (HP)
|
100% |
806
149.9 IPS |
|
|
Image Classification (Q)
|
96% |
627
117.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1021
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2600
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2348
2.74 IPS |
|
|
Pose Estimation (Q)
|
96% |
2222
2.60 IPS |
|
|
Object Detection (SP)
|
100% |
544
43.2 IPS |
|
|
Object Detection (HP)
|
99% |
953
75.6 IPS |
|
|
Object Detection (Q)
|
92% |
765
61.0 IPS |
|
|
Face Detection (SP)
|
100% |
1267
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2315
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1757
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2663
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2223
17.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5156
6.63 IPS |
|
|
Style Transfer (HP)
|
100% |
7910
10.2 IPS |
|
|
Style Transfer (Q)
|
96% |
7059
9.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1264
46.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1398
51.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1169
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
287
382.9 IPS |
|
|
Text Classification (HP)
|
100% |
559
745.7 IPS |
|
|
Text Classification (Q)
|
93% |
557
748.1 IPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1259
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1255
21.7 IPS |
