iPad17,2
Geekbench AI Score
13326
Single Precision Score
23866
Half Precision Score
25122
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | rsherrick707 |
| Upload Date | March 11 2026 05:48 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.11 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5975
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
10327
1.92 KIPS |
|
|
Image Classification (Q)
|
99% |
10323
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9918
160.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15386
249.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16475
267.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
37455
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
89843
104.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
117774
138.0 IPS |
|
|
Object Detection (SP)
|
100% |
6301
499.8 IPS |
|
|
Object Detection (HP)
|
100% |
11023
874.4 IPS |
|
|
Object Detection (Q)
|
94% |
11467
914.3 IPS |
|
|
Face Detection (SP)
|
100% |
18585
220.8 IPS |
|
|
Face Detection (HP)
|
100% |
34416
408.9 IPS |
|
|
Face Detection (Q)
|
100% |
33066
392.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27576
212.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51018
393.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
55140
430.5 IPS |
|
|
Style Transfer (SP)
|
100% |
78383
100.8 IPS |
|
|
Style Transfer (HP)
|
100% |
162793
209.3 IPS |
|
|
Style Transfer (Q)
|
96% |
206679
266.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15429
569.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29700
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28328
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5466
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5489
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
6778
116.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8212
141.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7440
128.6 IPS |
