iPad17,4
Geekbench AI Score
5257
Single Precision Score
8608
Half Precision Score
6818
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2285
424.9 IPS |
|
|
Image Classification (HP)
|
100% |
3726
693.0 IPS |
|
|
Image Classification (Q)
|
96% |
2513
469.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2208
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3338
54.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3572
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20901
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17809
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
97% |
4212
335.3 IPS |
|
|
Object Detection (Q)
|
94% |
2930
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8453
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9085
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15255
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10539
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27452
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41268
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33747
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5937
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7112
262.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5128
189.4 IPS |
|
|
Text Classification (SP)
|
100% |
3049
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5593
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5094
87.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9641
166.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9675
167.2 IPS |
