iPad17,4
Geekbench AI Score
5290
Single Precision Score
8559
Half Precision Score
6835
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2261
420.5 IPS |
|
|
Image Classification (HP)
|
100% |
3658
680.4 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3268
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3596
58.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11377
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20980
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17861
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4182
333.0 IPS |
|
|
Object Detection (Q)
|
94% |
2930
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4823
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8488
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4739
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9084
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15255
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10565
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27349
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41344
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33777
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6024
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7228
266.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5265
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
3025
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5479
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5511
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5158
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9490
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9716
167.9 IPS |
