iPad Pro 11-inch (2nd generation)
Geekbench AI Score
1286
Single Precision Score
1575
Half Precision Score
420
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 17 2024 11:05 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A12Z Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
953
177.1 IPS |
|
|
Image Classification (HP)
|
100% |
1141
212.3 IPS |
|
|
Image Classification (Q)
|
96% |
154
28.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
371
6.02 IPS |
|
|
Image Segmentation (Q)
|
99% |
225
3.64 IPS |
|
|
Pose Estimation (SP)
|
100% |
3184
3.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
4589
5.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
1847
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
1024
81.2 IPS |
|
|
Object Detection (HP)
|
100% |
1334
105.8 IPS |
|
|
Object Detection (Q)
|
92% |
179
14.3 IPS |
|
|
Face Detection (SP)
|
100% |
3627
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
4245
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
298
3.54 IPS |
|
|
Depth Estimation (SP)
|
100% |
3170
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4782
36.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
552
4.31 IPS |
|
|
Style Transfer (SP)
|
100% |
8813
11.3 IPS |
|
|
Style Transfer (HP)
|
100% |
10708
13.8 IPS |
|
|
Style Transfer (Q)
|
96% |
3072
3.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1553
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2252
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
398
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
220
293.2 IPS |
|
|
Text Classification (HP)
|
100% |
259
346.1 IPS |
|
|
Text Classification (Q)
|
93% |
263
352.5 IPS |
|
|
Machine Translation (SP)
|
100% |
322
5.55 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.94 IPS |
|
|
Machine Translation (Q)
|
98% |
285
4.92 IPS |
