iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1022
Single Precision Score
1548
Half Precision Score
1347
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fritzt |
| Upload Date | March 02 2025 06:52 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
792
147.3 IPS |
|
|
Image Classification (Q)
|
96% |
623
116.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1027
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2622
3.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
2322
2.71 IPS |
|
|
Pose Estimation (Q)
|
96% |
2185
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
548
43.4 IPS |
|
|
Object Detection (HP)
|
99% |
946
75.0 IPS |
|
|
Object Detection (Q)
|
92% |
776
61.9 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2350
27.9 IPS |
|
|
Face Detection (Q)
|
100% |
1482
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1757
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2665
20.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
2202
17.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5174
6.65 IPS |
|
|
Style Transfer (HP)
|
100% |
7853
10.1 IPS |
|
|
Style Transfer (Q)
|
96% |
7054
9.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1228
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1147
42.3 IPS |
|
|
Text Classification (SP)
|
100% |
285
380.3 IPS |
|
|
Text Classification (HP)
|
99% |
551
735.3 IPS |
|
|
Text Classification (Q)
|
93% |
546
733.4 IPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1260
21.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
