iPad17,4
Geekbench AI Score
5329
Single Precision Score
8638
Half Precision Score
6822
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | March 09 2026 01:23 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2265
421.3 IPS |
|
|
Image Classification (HP)
|
100% |
3687
685.7 IPS |
|
|
Image Classification (Q)
|
96% |
2490
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3409
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3746
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11055
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20877
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17814
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4192
333.7 IPS |
|
|
Object Detection (Q)
|
94% |
2927
233.3 IPS |
|
|
Face Detection (SP)
|
100% |
4805
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8511
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4767
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9095
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15278
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10532
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27519
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41316
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33756
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7273
268.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5102
188.4 IPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5146
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9543
164.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9419
162.8 IPS |
