iPad Pro 11-inch (2nd generation)
Geekbench AI Score
940
Single Precision Score
1369
Half Precision Score
1138
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sevys |
| Upload Date | August 17 2024 07:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
476
88.5 IPS |
|
|
Image Classification (HP)
|
100% |
667
124.0 IPS |
|
|
Image Classification (Q)
|
99% |
667
124.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
512
8.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
100% |
599
9.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
2505
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
2338
2.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
2015
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
99% |
819
65.0 IPS |
|
|
Object Detection (Q)
|
92% |
660
52.7 IPS |
|
|
Face Detection (SP)
|
100% |
1103
13.1 IPS |
|
|
Face Detection (HP)
|
100% |
1912
22.7 IPS |
|
|
Face Detection (Q)
|
100% |
1282
15.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1349
10.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2386
18.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
971
7.51 IPS |
|
|
Style Transfer (SP)
|
100% |
4867
6.26 IPS |
|
|
Style Transfer (HP)
|
100% |
7654
9.84 IPS |
|
|
Style Transfer (Q)
|
100% |
7626
9.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1409
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1177
43.6 IPS |
|
|
Text Classification (SP)
|
100% |
292
389.3 IPS |
|
|
Text Classification (HP)
|
99% |
565
754.7 IPS |
|
|
Text Classification (Q)
|
93% |
563
756.0 IPS |
|
|
Machine Translation (SP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1093
18.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1094
18.9 IPS |
