iPad17,4
Geekbench AI Score
5264
Single Precision Score
8571
Half Precision Score
6821
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 06:07 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2275
423.1 IPS |
|
|
Image Classification (HP)
|
100% |
3704
688.8 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2370
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3477
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3790
61.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10959
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20880
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17813
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
97% |
4188
333.4 IPS |
|
|
Object Detection (Q)
|
94% |
2932
233.7 IPS |
|
|
Face Detection (SP)
|
100% |
4721
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
8443
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4757
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9118
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15229
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10546
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27384
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41273
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33735
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5987
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7369
272.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5182
191.4 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
99% |
5435
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5354
7.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
5002
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8943
154.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9404
162.5 IPS |
