iPad Pro 13-inch (M5) iPad17,4
Geekbench AI Score
13235
Single Precision Score
23416
Half Precision Score
23315
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | idanbo |
| Upload Date | December 14 2025 11:32 AM |
| Views | 26 |
| 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 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.32 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6023
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10245
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
9335
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9818
159.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15045
243.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16507
267.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
36580
42.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
88487
103.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105368
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
6297
499.5 IPS |
|
|
Object Detection (HP)
|
100% |
10883
863.2 IPS |
|
|
Object Detection (Q)
|
93% |
9796
781.5 IPS |
|
|
Face Detection (SP)
|
100% |
18252
216.9 IPS |
|
|
Face Detection (HP)
|
100% |
32306
383.9 IPS |
|
|
Face Detection (Q)
|
100% |
26168
310.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27781
214.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
51882
399.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
51975
405.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78765
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
166124
213.6 IPS |
|
|
Style Transfer (Q)
|
96% |
202703
261.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15745
581.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30948
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28966
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3136
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5815
7.76 KIPS |
|
|
Text Classification (Q)
|
93% |
5497
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6143
105.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6666
114.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6799
117.5 IPS |
