iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5270
Single Precision Score
5998
Half Precision Score
5604
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 11:42 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,10 |
| Motherboard | J523AP |
| 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 | 7.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2388
444.2 IPS |
|
|
Image Classification (HP)
|
100% |
2108
392.1 IPS |
|
|
Image Classification (Q)
|
96% |
2114
394.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3993
64.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4276
69.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4086
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17036
19.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19081
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18256
21.4 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
2674
212.1 IPS |
|
|
Object Detection (Q)
|
92% |
2466
196.8 IPS |
|
|
Face Detection (SP)
|
100% |
6851
81.4 IPS |
|
|
Face Detection (HP)
|
100% |
8499
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
7049
83.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12484
96.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
13887
107.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
12694
99.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28757
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
35328
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33784
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6380
235.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7141
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5869
216.7 IPS |
|
|
Text Classification (SP)
|
100% |
2450
3.27 KIPS |
|
|
Text Classification (HP)
|
99% |
4233
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4213
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
997
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1051
18.2 IPS |
