iPad Pro 11-inch (2nd generation)
Geekbench AI Score
711
Single Precision Score
2427
Half Precision Score
444
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | January 29 2025 11:29 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
332
61.8 IPS |
|
|
Image Classification (HP)
|
100% |
2197
408.5 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.51 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2228
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27302
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1540
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
380
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1374
109.0 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
850
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6475
76.9 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.58 IPS |
|
|
Depth Estimation (SP)
|
100% |
1049
8.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
22597
174.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
602
4.70 IPS |
|
|
Style Transfer (SP)
|
100% |
3563
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3515
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2540
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
961
35.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3659
135.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
497
18.4 IPS |
|
|
Text Classification (SP)
|
100% |
260
346.8 IPS |
|
|
Text Classification (HP)
|
100% |
302
402.9 IPS |
|
|
Text Classification (Q)
|
93% |
289
388.2 IPS |
|
|
Machine Translation (SP)
|
100% |
492
8.48 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.56 IPS |
