iPad Pro 11-inch (2nd generation)
Geekbench AI Score
715
Single Precision Score
2430
Half Precision Score
447
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 05 2024 09:52 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
335
62.3 IPS |
|
|
Image Classification (HP)
|
100% |
2158
401.3 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.89 IPS |
|
|
Image Segmentation (HP)
|
100% |
400
6.49 IPS |
|
|
Image Segmentation (Q)
|
99% |
229
3.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
2245
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
27277
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1551
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1385
109.9 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
860
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6430
76.4 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1055
8.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
22891
176.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
609
4.76 IPS |
|
|
Style Transfer (SP)
|
100% |
3566
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3531
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2546
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
974
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3641
134.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
494
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
262
349.7 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.2 IPS |
|
|
Text Classification (Q)
|
93% |
300
403.2 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
384
6.61 IPS |
|
|
Machine Translation (Q)
|
98% |
381
6.59 IPS |
