iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5184
Single Precision Score
6026
Half Precision Score
5589
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 27 2025 09:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 7.36 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2153
400.4 IPS |
|
|
Image Classification (HP)
|
100% |
2310
429.5 IPS |
|
|
Image Classification (Q)
|
96% |
2032
379.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4020
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4270
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4119
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16960
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
18829
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18356
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
100% |
2690
213.3 IPS |
|
|
Object Detection (Q)
|
92% |
2574
205.4 IPS |
|
|
Face Detection (SP)
|
100% |
6787
80.6 IPS |
|
|
Face Detection (HP)
|
100% |
8412
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
7096
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12463
96.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
13824
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12614
98.5 IPS |
|
|
Style Transfer (SP)
|
100% |
28791
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35256
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33209
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6265
231.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7197
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5941
219.4 IPS |
|
|
Text Classification (SP)
|
100% |
2415
3.22 KIPS |
|
|
Text Classification (HP)
|
99% |
4217
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4201
5.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
977
16.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1016
17.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1015
17.5 IPS |
