iPad Pro 13-inch (M5) iPad17,4
Geekbench AI Score
13276
Single Precision Score
23330
Half Precision Score
23471
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | December 14 2025 11:13 AM |
| Views | 10 |
| Notes | iPad Pro 13-inch (M5) Wi-Fi + Cellular/12GB RAM/512GB SSD |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6129
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10259
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
9633
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9971
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15240
247.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16762
271.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37474
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
89994
105.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
106249
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
6315
500.9 IPS |
|
|
Object Detection (HP)
|
100% |
10942
867.9 IPS |
|
|
Object Detection (Q)
|
93% |
9890
789.0 IPS |
|
|
Face Detection (SP)
|
100% |
18408
218.7 IPS |
|
|
Face Detection (HP)
|
100% |
32395
384.9 IPS |
|
|
Face Detection (Q)
|
100% |
26252
311.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27706
213.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50745
391.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
51810
404.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78137
100.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164826
211.9 IPS |
|
|
Style Transfer (Q)
|
96% |
202913
261.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15546
574.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30894
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29084
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3072
4.10 KIPS |
|
|
Text Classification (HP)
|
99% |
5485
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5459
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6183
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6759
116.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6825
117.9 IPS |
