iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1020
Single Precision Score
1578
Half Precision Score
1369
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xabla |
| Upload Date | October 09 2024 05:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro 12.9-inch (4th generation) |
| Model ID | iPad8,11 |
| Motherboard | J420AP |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.1 IPS |
|
|
Image Classification (Q)
|
96% |
647
120.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (HP)
|
100% |
975
15.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1013
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
2366
2.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
2258
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
99% |
959
76.0 IPS |
|
|
Object Detection (Q)
|
92% |
762
60.8 IPS |
|
|
Face Detection (SP)
|
100% |
1271
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (Q)
|
100% |
1514
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1758
13.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
2730
21.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
2240
17.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5243
6.74 IPS |
|
|
Style Transfer (HP)
|
100% |
8001
10.3 IPS |
|
|
Style Transfer (Q)
|
96% |
7195
9.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1228
45.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1228
45.4 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.9 IPS |
|
|
Text Classification (HP)
|
99% |
552
736.4 IPS |
|
|
Text Classification (Q)
|
93% |
546
732.2 IPS |
|
|
Machine Translation (SP)
|
100% |
722
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1257
21.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1262
21.8 IPS |
