iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3230
Single Precision Score
5323
Half Precision Score
4386
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 09:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,4 |
| Motherboard | J517AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1401
260.5 IPS |
|
|
Image Classification (HP)
|
100% |
2185
406.4 IPS |
|
|
Image Classification (Q)
|
96% |
1562
291.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2197
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2587
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6543
7.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
13947
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12048
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1511
119.8 IPS |
|
|
Object Detection (HP)
|
97% |
2441
194.3 IPS |
|
|
Object Detection (Q)
|
94% |
1791
142.7 IPS |
|
|
Face Detection (SP)
|
100% |
3043
36.2 IPS |
|
|
Face Detection (HP)
|
100% |
5530
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3178
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5802
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11026
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7646
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17199
22.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26369
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
22058
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3751
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4448
164.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3425
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3942
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3897
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2483
42.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3968
68.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4227
73.0 IPS |
