iPad Pro 11-inch (2nd generation)
Geekbench AI Score
716
Single Precision Score
2441
Half Precision Score
444
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | May 31 2025 07:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
340
63.1 IPS |
|
|
Image Classification (HP)
|
100% |
2190
407.2 IPS |
|
|
Image Classification (Q)
|
99% |
168
31.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
2224
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
27337
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1541
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
379
30.1 IPS |
|
|
Object Detection (HP)
|
100% |
1390
110.2 IPS |
|
|
Object Detection (Q)
|
94% |
200
15.9 IPS |
|
|
Face Detection (SP)
|
100% |
849
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6572
78.1 IPS |
|
|
Face Detection (Q)
|
100% |
315
3.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
1050
8.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
22981
177.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
601
4.69 IPS |
|
|
Style Transfer (SP)
|
100% |
3560
4.58 IPS |
|
|
Style Transfer (HP)
|
100% |
3534
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2451
3.16 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3673
135.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
492
18.2 IPS |
|
|
Text Classification (SP)
|
100% |
265
354.2 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.2 IPS |
|
|
Text Classification (Q)
|
93% |
295
396.5 IPS |
|
|
Machine Translation (SP)
|
100% |
495
8.52 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.59 IPS |
|
|
Machine Translation (Q)
|
98% |
381
6.59 IPS |
