iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5087
Single Precision Score
5947
Half Precision Score
5686
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:55 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2135
397.0 IPS |
|
|
Image Classification (HP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (Q)
|
96% |
2403
448.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3982
64.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4282
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4088
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16706
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19026
22.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
18160
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
2714
215.3 IPS |
|
|
Object Detection (Q)
|
92% |
2444
195.1 IPS |
|
|
Face Detection (SP)
|
100% |
6566
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
7083
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11836
91.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13963
107.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12651
98.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28820
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35616
45.8 IPS |
|
|
Style Transfer (Q)
|
96% |
34666
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6300
232.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7403
273.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6126
226.2 IPS |
|
|
Text Classification (SP)
|
100% |
2298
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3921
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1011
17.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1093
18.9 IPS |
