iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1294
Single Precision Score
1598
Half Precision Score
420
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 15 2024 10:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1007
187.3 IPS |
|
|
Image Classification (HP)
|
100% |
1284
238.8 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
361
5.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
385
6.24 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
3188
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
4601
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1813
2.12 IPS |
|
|
Object Detection (SP)
|
100% |
1026
81.4 IPS |
|
|
Object Detection (HP)
|
100% |
1326
105.2 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3651
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
4193
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
3126
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4768
36.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
556
4.34 IPS |
|
|
Style Transfer (SP)
|
100% |
8859
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10676
13.7 IPS |
|
|
Style Transfer (Q)
|
96% |
3077
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2240
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
219
291.8 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.2 IPS |
|
|
Text Classification (Q)
|
93% |
265
355.4 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
98% |
284
4.92 IPS |
