iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
3244
Single Precision Score
5348
Half Precision Score
4394
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | davidblue |
| Upload Date | October 21 2024 07:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| CPU Information | |
|---|---|
| Name | Apple M1 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.19 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1402
260.7 IPS |
|
|
Image Classification (HP)
|
100% |
2166
402.8 IPS |
|
|
Image Classification (Q)
|
96% |
1567
292.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1441
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2221
36.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2585
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6514
7.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
13932
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12045
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1510
119.7 IPS |
|
|
Object Detection (HP)
|
97% |
2438
194.1 IPS |
|
|
Object Detection (Q)
|
94% |
1800
143.5 IPS |
|
|
Face Detection (SP)
|
100% |
3046
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5623
66.8 IPS |
|
|
Face Detection (Q)
|
100% |
3229
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5732
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11066
85.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7659
59.9 IPS |
|
|
Style Transfer (SP)
|
100% |
17199
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26298
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22032
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3820
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4711
173.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3417
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3923
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3901
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2475
42.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3875
66.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4209
72.7 IPS |
