iPad Pro (11-inch 3rd generation)
Geekbench AI Score
5195
Single Precision Score
6108
Half Precision Score
5578
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 04:35 AM |
| Views | 1 |
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 | iPad13,4 |
| 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% |
2217
412.2 IPS |
|
|
Image Classification (HP)
|
100% |
2331
433.6 IPS |
|
|
Image Classification (Q)
|
96% |
1936
361.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4075
66.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4373
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4183
67.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
16839
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18835
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18191
21.3 IPS |
|
|
Object Detection (SP)
|
100% |
2744
217.7 IPS |
|
|
Object Detection (HP)
|
100% |
2806
222.6 IPS |
|
|
Object Detection (Q)
|
92% |
2548
203.4 IPS |
|
|
Face Detection (SP)
|
100% |
6665
79.2 IPS |
|
|
Face Detection (HP)
|
100% |
8658
102.9 IPS |
|
|
Face Detection (Q)
|
100% |
7095
84.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12362
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13953
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12883
100.6 IPS |
|
|
Style Transfer (SP)
|
100% |
28177
36.2 IPS |
|
|
Style Transfer (HP)
|
100% |
35521
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33863
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6312
233.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7126
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5894
217.6 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4206
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1035
17.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1013
17.5 IPS |
