iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3196
Single Precision Score
5308
Half Precision Score
4364
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | wangshuy |
| Upload Date | September 12 2024 08:01 AM |
| Views | 4 |
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 | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1373
255.3 IPS |
|
|
Image Classification (HP)
|
100% |
2158
401.3 IPS |
|
|
Image Classification (Q)
|
96% |
1552
289.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2567
41.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6522
7.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
13904
16.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11993
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1492
118.4 IPS |
|
|
Object Detection (HP)
|
97% |
2417
192.4 IPS |
|
|
Object Detection (Q)
|
94% |
1776
141.5 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
5448
64.7 IPS |
|
|
Face Detection (Q)
|
100% |
3152
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5745
44.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11030
85.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7638
59.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17013
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
26257
33.8 IPS |
|
|
Style Transfer (Q)
|
96% |
22048
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3723
137.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4517
166.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3396
125.4 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3944
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3909
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
2477
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3962
68.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4194
72.5 IPS |
