iPad Pro (11-inch 3rd generation)
Geekbench AI Score
3060
Single Precision Score
14322
Half Precision Score
14136
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 04:18 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1282
238.5 IPS |
|
|
Image Classification (HP)
|
100% |
5776
1.07 KIPS |
|
|
Image Classification (Q)
|
96% |
5603
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1266
20.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8840
143.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9061
146.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5981
6.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
65020
75.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
64241
75.3 IPS |
|
|
Object Detection (SP)
|
100% |
1368
108.5 IPS |
|
|
Object Detection (HP)
|
99% |
6649
528.9 IPS |
|
|
Object Detection (Q)
|
91% |
6276
501.5 IPS |
|
|
Face Detection (SP)
|
100% |
2944
35.0 IPS |
|
|
Face Detection (HP)
|
100% |
12848
152.7 IPS |
|
|
Face Detection (Q)
|
100% |
12012
142.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5431
41.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
43304
333.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
46000
359.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16469
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
119076
153.1 IPS |
|
|
Style Transfer (Q)
|
96% |
110835
143.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3448
127.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23151
854.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23013
849.8 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
99% |
4177
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4171
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2470
42.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2569
44.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2648
45.8 IPS |
