iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1290
Single Precision Score
1592
Half Precision Score
421
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 20 2024 12:26 PM |
| Views | 8 |
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% |
959
178.4 IPS |
|
|
Image Classification (HP)
|
100% |
1259
234.1 IPS |
|
|
Image Classification (Q)
|
96% |
155
28.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
353
5.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
99% |
224
3.63 IPS |
|
|
Pose Estimation (SP)
|
100% |
3183
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4599
5.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1837
2.15 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.3 IPS |
|
|
Object Detection (HP)
|
100% |
1333
105.8 IPS |
|
|
Object Detection (Q)
|
92% |
181
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
3793
45.1 IPS |
|
|
Face Detection (HP)
|
100% |
4190
49.8 IPS |
|
|
Face Detection (Q)
|
100% |
297
3.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
3176
24.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
4805
37.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
555
4.33 IPS |
|
|
Style Transfer (SP)
|
100% |
8891
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10698
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3077
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2257
83.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
399
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
215
286.9 IPS |
|
|
Text Classification (HP)
|
100% |
261
348.3 IPS |
|
|
Text Classification (Q)
|
93% |
263
353.0 IPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
98% |
286
4.95 IPS |
