iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5317
Single Precision Score
6128
Half Precision Score
5790
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | February 17 2026 07:47 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2081
387.1 IPS |
|
|
Image Classification (HP)
|
100% |
1979
368.1 IPS |
|
|
Image Classification (Q)
|
94% |
2187
408.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4016
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4271
69.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4080
66.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16863
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18908
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18154
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
100% |
2699
214.1 IPS |
|
|
Object Detection (Q)
|
91% |
2551
203.8 IPS |
|
|
Face Detection (SP)
|
100% |
7094
84.3 IPS |
|
|
Face Detection (HP)
|
100% |
8973
106.6 IPS |
|
|
Face Detection (Q)
|
100% |
8065
95.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12301
94.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
13664
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
13079
102.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28750
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35233
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
34291
44.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6340
234.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7143
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5880
217.1 IPS |
|
|
Text Classification (SP)
|
100% |
2385
3.18 KIPS |
|
|
Text Classification (HP)
|
99% |
4199
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4171
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1338
23.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1156
20.0 IPS |
