iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5262
Single Precision Score
6056
Half Precision Score
5545
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 06:46 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad Pro (12.9-inch 5th generation) |
| Model ID | iPad13,8 |
| Motherboard | J522AP |
| 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% |
2363
439.5 IPS |
|
|
Image Classification (HP)
|
100% |
2346
436.2 IPS |
|
|
Image Classification (Q)
|
96% |
1897
354.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4024
65.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4293
69.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4112
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16910
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18930
22.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
18396
21.5 IPS |
|
|
Object Detection (SP)
|
100% |
2660
211.0 IPS |
|
|
Object Detection (HP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (Q)
|
92% |
2425
193.6 IPS |
|
|
Face Detection (SP)
|
100% |
6923
82.3 IPS |
|
|
Face Detection (HP)
|
100% |
8550
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
7123
84.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12278
94.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
13853
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
12666
98.9 IPS |
|
|
Style Transfer (SP)
|
100% |
29240
37.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35736
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
34630
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6471
238.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7142
263.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5891
217.5 IPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4213
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4183
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
990
17.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1023
17.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1027
17.7 IPS |
