iPad17,4
Geekbench AI Score
13523
Single Precision Score
24190
Half Precision Score
25523
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | March 09 2026 01:34 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6032
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
10044
1.87 KIPS |
|
|
Image Classification (Q)
|
99% |
10370
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9919
160.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15576
252.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
16685
270.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
37648
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90657
105.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
118426
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
6387
506.6 IPS |
|
|
Object Detection (HP)
|
100% |
11213
889.5 IPS |
|
|
Object Detection (Q)
|
94% |
11809
941.6 IPS |
|
|
Face Detection (SP)
|
100% |
19098
226.9 IPS |
|
|
Face Detection (HP)
|
100% |
35044
416.4 IPS |
|
|
Face Detection (Q)
|
100% |
33887
402.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
27683
213.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52792
406.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
56226
439.0 IPS |
|
|
Style Transfer (SP)
|
100% |
78900
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
163210
209.8 IPS |
|
|
Style Transfer (Q)
|
96% |
207752
268.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15418
569.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29777
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28909
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5496
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6909
119.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8514
146.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7710
133.2 IPS |
