iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5206
Single Precision Score
6050
Half Precision Score
5591
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Trinity33R |
| Upload Date | February 01 2026 01:27 AM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,9 |
| Motherboard | J522xAP |
| 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 | 15.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3975
64.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4278
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4105
66.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16812
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18848
22.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
18399
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
2686
213.1 IPS |
|
|
Object Detection (Q)
|
92% |
2481
198.0 IPS |
|
|
Face Detection (SP)
|
100% |
6741
80.1 IPS |
|
|
Face Detection (HP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
7042
83.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12502
96.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13829
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
12760
99.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28882
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35292
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33277
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6243
230.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7137
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5950
219.7 IPS |
|
|
Text Classification (SP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4194
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4232
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
993
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1028
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1042
18.0 IPS |
