iPad Pro 12.9-inch (4th generation)
Geekbench AI Score
1295
Single Precision Score
1606
Half Precision Score
425
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 01 2024 01:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
994
184.8 IPS |
|
|
Image Classification (HP)
|
100% |
1289
239.6 IPS |
|
|
Image Classification (Q)
|
96% |
160
29.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
366
5.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
382
6.19 IPS |
|
|
Image Segmentation (Q)
|
99% |
229
3.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4611
5.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
1803
2.11 IPS |
|
|
Object Detection (SP)
|
100% |
1019
80.8 IPS |
|
|
Object Detection (HP)
|
100% |
1341
106.4 IPS |
|
|
Object Detection (Q)
|
92% |
181
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
3628
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
3150
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4739
36.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
559
4.37 IPS |
|
|
Style Transfer (SP)
|
100% |
8834
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10682
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3117
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1551
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
401
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.2 IPS |
|
|
Text Classification (HP)
|
100% |
270
359.9 IPS |
|
|
Text Classification (Q)
|
93% |
270
362.9 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
98% |
288
4.97 IPS |
