iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5130
Single Precision Score
5861
Half Precision Score
5505
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | szityus |
| Upload Date | June 23 2025 07:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2121
394.4 IPS |
|
|
Image Classification (HP)
|
100% |
1897
352.8 IPS |
|
|
Image Classification (Q)
|
96% |
1969
367.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4001
64.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4233
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4072
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
16967
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18851
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18154
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2678
212.4 IPS |
|
|
Object Detection (HP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (Q)
|
92% |
2418
193.0 IPS |
|
|
Face Detection (SP)
|
100% |
6785
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
8279
98.4 IPS |
|
|
Face Detection (Q)
|
100% |
6997
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12284
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13934
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
12820
100.1 IPS |
|
|
Style Transfer (SP)
|
100% |
28398
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35207
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34128
44.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6400
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7297
269.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6164
227.6 IPS |
|
|
Text Classification (SP)
|
100% |
2289
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3994
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (HP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
986
17.0 IPS |
