iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5102
Single Precision Score
5923
Half Precision Score
5563
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | bluetech |
| Upload Date | August 01 2025 05:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,11 |
| Motherboard | J523xAP |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1912
355.6 IPS |
|
|
Image Classification (HP)
|
100% |
1958
364.2 IPS |
|
|
Image Classification (Q)
|
96% |
1952
364.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
4014
65.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4217
68.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4068
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16854
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18835
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18259
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
2683
212.8 IPS |
|
|
Object Detection (Q)
|
92% |
2396
191.3 IPS |
|
|
Face Detection (SP)
|
100% |
6691
79.5 IPS |
|
|
Face Detection (HP)
|
100% |
8411
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
6995
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
12262
94.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
14147
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
12970
101.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28487
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35178
45.2 IPS |
|
|
Style Transfer (Q)
|
96% |
34048
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6399
236.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7231
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6237
230.3 IPS |
|
|
Text Classification (SP)
|
100% |
2343
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4109
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4126
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
994
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1028
17.8 IPS |
