iPad Pro 11-inch (2nd generation)
Geekbench AI Score
938
Single Precision Score
1363
Half Precision Score
1135
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sichunlam |
| Upload Date | August 16 2024 06:42 AM |
| 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 | iPad8,9 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
471
87.6 IPS |
|
|
Image Classification (HP)
|
100% |
664
123.5 IPS |
|
|
Image Classification (Q)
|
99% |
666
124.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
596
9.66 IPS |
|
|
Image Segmentation (Q)
|
100% |
595
9.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
2584
3.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
2306
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
2070
2.43 IPS |
|
|
Object Detection (SP)
|
100% |
501
39.7 IPS |
|
|
Object Detection (HP)
|
99% |
819
64.9 IPS |
|
|
Object Detection (Q)
|
92% |
656
52.4 IPS |
|
|
Face Detection (SP)
|
100% |
1096
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
1865
22.2 IPS |
|
|
Face Detection (Q)
|
100% |
1260
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1342
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2370
18.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
970
7.50 IPS |
|
|
Style Transfer (SP)
|
100% |
4856
6.24 IPS |
|
|
Style Transfer (HP)
|
100% |
7677
9.87 IPS |
|
|
Style Transfer (Q)
|
100% |
7679
9.87 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1200
44.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1410
52.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1148
42.5 IPS |
|
|
Text Classification (SP)
|
100% |
290
386.8 IPS |
|
|
Text Classification (HP)
|
99% |
562
749.9 IPS |
|
|
Text Classification (Q)
|
93% |
559
750.2 IPS |
|
|
Machine Translation (SP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1108
19.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1100
19.0 IPS |
