iPad Pro 11-inch (2nd generation)
Geekbench AI Score
713
Single Precision Score
2442
Half Precision Score
446
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 10 2025 02:00 AM |
| Views | 5 |
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% |
335
62.3 IPS |
|
|
Image Classification (HP)
|
100% |
2214
411.7 IPS |
|
|
Image Classification (Q)
|
99% |
169
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
298
4.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
399
6.46 IPS |
|
|
Image Segmentation (Q)
|
99% |
227
3.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
2227
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
27340
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1542
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1398
110.9 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
851
10.1 IPS |
|
|
Face Detection (HP)
|
100% |
6515
77.4 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1052
8.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
23333
179.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
606
4.73 IPS |
|
|
Style Transfer (SP)
|
100% |
3569
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3516
4.52 IPS |
|
|
Style Transfer (Q)
|
96% |
2542
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3631
134.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
496
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.6 IPS |
|
|
Text Classification (HP)
|
100% |
302
402.6 IPS |
|
|
Text Classification (Q)
|
93% |
301
403.8 IPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
382
6.58 IPS |
|
|
Machine Translation (Q)
|
98% |
381
6.59 IPS |
