iPad17,4
Geekbench AI Score
5264
Single Precision Score
8585
Half Precision Score
6811
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:34 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% |
2276
423.3 IPS |
|
|
Image Classification (HP)
|
100% |
3730
693.7 IPS |
|
|
Image Classification (Q)
|
96% |
2520
470.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2215
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3298
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3586
58.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11260
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20909
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17833
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4186
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2936
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4812
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8498
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4746
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9067
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15290
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10571
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27362
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41343
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33803
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5982
220.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7159
264.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5179
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
3002
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5504
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
5046
86.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9553
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9398
162.4 IPS |
