iPad Pro 11-inch (2nd generation)
Geekbench AI Score
716
Single Precision Score
2435
Half Precision Score
901
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 22 2024 12:31 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
2182
405.7 IPS |
|
|
Image Classification (Q)
|
99% |
2158
402.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.50 IPS |
|
|
Image Segmentation (Q)
|
100% |
400
6.49 IPS |
|
|
Pose Estimation (SP)
|
100% |
2249
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
27213
31.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
1521
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1386
110.0 IPS |
|
|
Object Detection (Q)
|
94% |
203
16.2 IPS |
|
|
Face Detection (SP)
|
100% |
859
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6423
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1061
8.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
22946
176.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
22827
176.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3575
4.60 IPS |
|
|
Style Transfer (HP)
|
100% |
3526
4.53 IPS |
|
|
Style Transfer (Q)
|
100% |
3503
4.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
980
36.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3702
136.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
485
18.0 IPS |
|
|
Text Classification (SP)
|
100% |
262
350.0 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.0 IPS |
|
|
Text Classification (Q)
|
93% |
297
398.9 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.49 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.56 IPS |
