iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5095
Single Precision Score
5905
Half Precision Score
5457
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ebarrera |
| Upload Date | October 01 2025 10:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (11-inch 3rd generation) |
| Model ID | iPad13,6 |
| Motherboard | J518AP |
| 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% |
1918
356.7 IPS |
|
|
Image Classification (HP)
|
100% |
2083
387.4 IPS |
|
|
Image Classification (Q)
|
96% |
1907
356.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3973
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4245
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4074
66.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17034
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18767
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
18267
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2628
208.5 IPS |
|
|
Object Detection (HP)
|
100% |
2633
208.9 IPS |
|
|
Object Detection (Q)
|
92% |
2423
193.4 IPS |
|
|
Face Detection (SP)
|
100% |
6830
81.2 IPS |
|
|
Face Detection (HP)
|
100% |
8446
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
7072
84.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12395
95.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
13839
106.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
12580
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28797
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35281
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33303
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6323
233.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6991
258.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5809
214.5 IPS |
|
|
Text Classification (SP)
|
100% |
2337
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
4094
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3941
5.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1005
17.4 IPS |
