iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1291
Single Precision Score
1595
Half Precision Score
419
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 19 2024 01:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
952
177.0 IPS |
|
|
Image Classification (HP)
|
100% |
1188
221.0 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
354
5.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
384
6.23 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3182
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4592
5.36 IPS |
|
|
Pose Estimation (Q)
|
96% |
1814
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (HP)
|
100% |
1327
105.3 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3790
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
4303
51.1 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
3170
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4799
37.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
554
4.32 IPS |
|
|
Style Transfer (SP)
|
100% |
8853
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10714
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3034
3.92 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2306
85.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
400
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.3 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.2 IPS |
|
|
Text Classification (Q)
|
93% |
265
356.3 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
98% |
285
4.93 IPS |
