iPad17,4
Geekbench AI Score
5280
Single Precision Score
8562
Half Precision Score
6795
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 12:23 AM |
| 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 | 4.42 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% |
3681
684.5 IPS |
|
|
Image Classification (Q)
|
96% |
2519
470.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3295
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11284
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20876
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17813
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.1 IPS |
|
|
Object Detection (HP)
|
97% |
4172
332.1 IPS |
|
|
Object Detection (Q)
|
94% |
2930
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4784
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8468
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4750
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9104
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15124
116.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10542
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27256
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41233
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33440
43.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7179
265.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5210
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5147
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9566
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9456
163.4 IPS |
