iPad Pro 11-inch (2nd generation)
Geekbench AI Score
710
Single Precision Score
2425
Half Precision Score
905
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | August 25 2024 11:49 AM |
| Views | 5 |
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% |
330
61.5 IPS |
|
|
Image Classification (HP)
|
100% |
2250
418.3 IPS |
|
|
Image Classification (Q)
|
99% |
2290
427.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
300
4.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
100% |
402
6.52 IPS |
|
|
Pose Estimation (SP)
|
100% |
2231
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27341
31.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
1511
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (Q)
|
94% |
201
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
855
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6362
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1050
8.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
22650
174.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
22965
177.6 IPS |
|
|
Style Transfer (SP)
|
100% |
3552
4.57 IPS |
|
|
Style Transfer (HP)
|
100% |
3519
4.52 IPS |
|
|
Style Transfer (Q)
|
100% |
3489
4.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
481
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
257
343.3 IPS |
|
|
Text Classification (HP)
|
100% |
299
398.8 IPS |
|
|
Text Classification (Q)
|
93% |
299
401.1 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
381
6.57 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.57 IPS |
