iPad Pro (11-inch, 4th generation)
Geekbench AI Score
3225
Single Precision Score
5340
Half Precision Score
4510
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 13 2025 01:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| Model | iPad Pro (11-inch, 4th generation) |
| Model ID | iPad14,3 |
| Motherboard | J617AP |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.49 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1361
253.0 IPS |
|
|
Image Classification (HP)
|
100% |
2488
462.6 IPS |
|
|
Image Classification (Q)
|
96% |
1712
319.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1463
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2410
39.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5843
6.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
13343
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10790
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1395
110.7 IPS |
|
|
Object Detection (HP)
|
97% |
2074
165.1 IPS |
|
|
Object Detection (Q)
|
94% |
1847
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
4955
58.9 IPS |
|
|
Face Detection (Q)
|
100% |
3164
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4941
38.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9827
76.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7133
55.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16639
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
25952
33.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22240
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3961
146.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4935
182.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3628
134.0 IPS |
|
|
Text Classification (SP)
|
100% |
2153
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3702
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3638
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3643
62.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6187
106.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6397
110.5 IPS |
