iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
401
Single Precision Score
651
Half Precision Score
580
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 31 2024 12:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
218
40.6 IPS |
|
|
Image Classification (HP)
|
100% |
396
73.7 IPS |
|
|
Image Classification (Q)
|
96% |
331
61.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
455
7.37 IPS |
|
|
Image Segmentation (Q)
|
99% |
492
8.00 IPS |
|
|
Pose Estimation (SP)
|
100% |
715
0.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
740
0.86 IPS |
|
|
Pose Estimation (Q)
|
96% |
729
0.85 IPS |
|
|
Object Detection (SP)
|
100% |
227
18.0 IPS |
|
|
Object Detection (HP)
|
99% |
438
34.7 IPS |
|
|
Object Detection (Q)
|
92% |
357
28.5 IPS |
|
|
Face Detection (SP)
|
100% |
646
7.68 IPS |
|
|
Face Detection (HP)
|
100% |
1189
14.1 IPS |
|
|
Face Detection (Q)
|
100% |
830
9.86 IPS |
|
|
Depth Estimation (SP)
|
100% |
629
4.84 IPS |
|
|
Depth Estimation (HP)
|
98% |
945
7.30 IPS |
|
|
Depth Estimation (Q)
|
85% |
707
5.52 IPS |
|
|
Style Transfer (SP)
|
100% |
1201
1.54 IPS |
|
|
Style Transfer (HP)
|
100% |
2190
2.82 IPS |
|
|
Style Transfer (Q)
|
96% |
2092
2.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
443
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
401
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
167
223.4 IPS |
|
|
Text Classification (HP)
|
99% |
333
445.1 IPS |
|
|
Text Classification (Q)
|
93% |
327
439.5 IPS |
|
|
Machine Translation (SP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (HP)
|
98% |
647
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
635
11.0 IPS |
