iPad Pro 11-inch (2nd generation)
Geekbench AI Score
716
Single Precision Score
2456
Half Precision Score
449
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 21 2024 01:00 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
336
62.4 IPS |
|
|
Image Classification (HP)
|
100% |
2267
421.7 IPS |
|
|
Image Classification (Q)
|
99% |
180
33.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
398
6.45 IPS |
|
|
Image Segmentation (Q)
|
99% |
228
3.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
2246
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
27317
31.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
1554
1.82 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
100% |
1382
109.7 IPS |
|
|
Object Detection (Q)
|
94% |
202
16.1 IPS |
|
|
Face Detection (SP)
|
100% |
863
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
6400
76.1 IPS |
|
|
Face Detection (Q)
|
100% |
303
3.60 IPS |
|
|
Depth Estimation (SP)
|
100% |
1067
8.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
24819
191.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
604
4.71 IPS |
|
|
Style Transfer (SP)
|
100% |
3572
4.59 IPS |
|
|
Style Transfer (HP)
|
100% |
3529
4.54 IPS |
|
|
Style Transfer (Q)
|
96% |
2546
3.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
973
35.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
494
18.3 IPS |
|
|
Text Classification (SP)
|
100% |
260
347.2 IPS |
|
|
Text Classification (HP)
|
100% |
300
400.2 IPS |
|
|
Text Classification (Q)
|
93% |
300
402.6 IPS |
|
|
Machine Translation (SP)
|
100% |
494
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
380
6.55 IPS |
|
|
Machine Translation (Q)
|
98% |
380
6.57 IPS |
