iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1336
Single Precision Score
1656
Half Precision Score
364
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 07:06 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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 | 5.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
988
183.7 IPS |
|
|
Image Classification (HP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (Q)
|
96% |
90
16.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
321
5.20 IPS |
|
|
Image Segmentation (Q)
|
99% |
184
2.99 IPS |
|
|
Pose Estimation (SP)
|
100% |
3186
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4598
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1670
1.96 IPS |
|
|
Object Detection (SP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (HP)
|
100% |
1331
105.6 IPS |
|
|
Object Detection (Q)
|
92% |
112
8.91 IPS |
|
|
Face Detection (SP)
|
100% |
3674
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
4326
51.4 IPS |
|
|
Face Detection (Q)
|
100% |
212
2.52 IPS |
|
|
Depth Estimation (SP)
|
100% |
3178
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4699
36.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
452
3.53 IPS |
|
|
Style Transfer (SP)
|
100% |
8857
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
11024
14.2 IPS |
|
|
Style Transfer (Q)
|
96% |
2751
3.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1554
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
403
14.9 IPS |
|
|
Text Classification (SP)
|
100% |
222
296.1 IPS |
|
|
Text Classification (HP)
|
100% |
267
356.0 IPS |
|
|
Text Classification (Q)
|
93% |
266
356.9 IPS |
|
|
Machine Translation (SP)
|
100% |
513
8.84 IPS |
|
|
Machine Translation (HP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (Q)
|
98% |
468
8.08 IPS |
