iPad Pro 11-inch (2nd generation)
Geekbench AI Score
715
Single Precision Score
2423
Half Precision Score
447
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2024 12:22 PM |
| Views | 9 |
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% |
2182
405.9 IPS |
|
|
Image Classification (Q)
|
99% |
170
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
303
4.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
2241
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
27211
31.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
1544
1.81 IPS |
|
|
Object Detection (SP)
|
100% |
384
30.4 IPS |
|
|
Object Detection (HP)
|
100% |
1388
110.1 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
6498
77.2 IPS |
|
|
Face Detection (Q)
|
100% |
300
3.57 IPS |
|
|
Depth Estimation (SP)
|
100% |
1054
8.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
22358
172.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
604
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3521
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3521
4.53 IPS |
|
|
Style Transfer (Q)
|
96% |
2540
3.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
971
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3612
133.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
503
18.6 IPS |
|
|
Text Classification (SP)
|
100% |
263
351.2 IPS |
|
|
Text Classification (HP)
|
100% |
304
405.8 IPS |
|
|
Text Classification (Q)
|
93% |
303
406.1 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.53 IPS |
|
|
Machine Translation (Q)
|
98% |
378
6.53 IPS |
