iPad Pro 11-inch (2nd generation)
Geekbench AI Score
717
Single Precision Score
2462
Half Precision Score
449
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | c_wich |
| Upload Date | April 05 2025 07:11 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad Pro 11-inch (2nd generation) |
| Model ID | iPad8,9 |
| Motherboard | J417AP |
| 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% |
334
62.1 IPS |
|
|
Image Classification (HP)
|
100% |
2295
426.9 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
299
4.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
226
3.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
2231
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
28730
33.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
1547
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (Q)
|
94% |
208
16.5 IPS |
|
|
Face Detection (SP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
6547
77.8 IPS |
|
|
Face Detection (Q)
|
100% |
302
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1051
8.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
23117
178.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
605
4.72 IPS |
|
|
Style Transfer (SP)
|
100% |
3551
4.56 IPS |
|
|
Style Transfer (HP)
|
100% |
3512
4.51 IPS |
|
|
Style Transfer (Q)
|
96% |
2547
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
964
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3722
137.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
511
18.9 IPS |
|
|
Text Classification (SP)
|
100% |
277
369.9 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.7 IPS |
|
|
Text Classification (Q)
|
93% |
301
404.4 IPS |
|
|
Machine Translation (SP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.56 IPS |
