iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1354
Single Precision Score
1666
Half Precision Score
440
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 06:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,10 |
| Motherboard | J418AP |
| 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% |
983
182.9 IPS |
|
|
Image Classification (HP)
|
100% |
1233
229.4 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
363
5.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3181
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1820
2.13 IPS |
|
|
Object Detection (SP)
|
100% |
1006
79.8 IPS |
|
|
Object Detection (HP)
|
100% |
1312
104.1 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3781
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
4195
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
3176
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4811
37.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
554
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
8832
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10767
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3012
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1558
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2275
84.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
217
289.3 IPS |
|
|
Text Classification (HP)
|
100% |
260
346.6 IPS |
|
|
Text Classification (Q)
|
93% |
263
352.8 IPS |
|
|
Machine Translation (SP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.02 IPS |
|
|
Machine Translation (Q)
|
98% |
466
8.05 IPS |
