iPad17,1
Geekbench AI Score
13320
Single Precision Score
23330
Half Precision Score
23478
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | December 26 2025 04:28 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6123
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10257
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
9562
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9966
161.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15283
247.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
16757
271.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
37455
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
89509
104.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
105701
123.9 IPS |
|
|
Object Detection (SP)
|
100% |
6315
500.9 IPS |
|
|
Object Detection (HP)
|
100% |
10890
863.8 IPS |
|
|
Object Detection (Q)
|
93% |
9901
789.9 IPS |
|
|
Face Detection (SP)
|
100% |
18407
218.7 IPS |
|
|
Face Detection (HP)
|
100% |
32248
383.2 IPS |
|
|
Face Detection (Q)
|
100% |
26584
315.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27556
212.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
50804
391.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
51774
404.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78396
100.8 IPS |
|
|
Style Transfer (HP)
|
100% |
164216
211.1 IPS |
|
|
Style Transfer (Q)
|
96% |
201252
259.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15423
569.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30907
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28951
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5535
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5580
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6202
106.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6793
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6782
117.2 IPS |
