iPad Pro (12.9-inch 5th generation)
Geekbench AI Score
5158
Single Precision Score
5914
Half Precision Score
5502
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | August 01 2025 07:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2123
394.7 IPS |
|
|
Image Classification (HP)
|
100% |
2064
383.8 IPS |
|
|
Image Classification (Q)
|
96% |
1916
357.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3997
64.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4283
69.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4112
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16992
19.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19142
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
18916
22.2 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (Q)
|
92% |
2441
194.9 IPS |
|
|
Face Detection (SP)
|
100% |
6825
81.1 IPS |
|
|
Face Detection (HP)
|
100% |
8506
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
6986
83.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12472
96.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
13780
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
12637
98.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28494
36.6 IPS |
|
|
Style Transfer (HP)
|
100% |
35236
45.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33355
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6280
231.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7013
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5907
218.1 IPS |
|
|
Text Classification (SP)
|
100% |
2325
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3920
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
979
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1026
17.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1025
17.7 IPS |
