iPad17,4
Geekbench AI Score
5262
Single Precision Score
8576
Half Precision Score
6793
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 04:05 AM |
| Views | 2 |
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% |
2277
423.5 IPS |
|
|
Image Classification (HP)
|
100% |
3721
691.9 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2185
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3305
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3512
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11048
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20940
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17835
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2662
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4208
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2924
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
4785
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8491
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4727
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9128
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15217
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10540
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27442
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41425
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33770
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5965
220.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7135
263.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5170
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3037
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5129
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9423
162.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9477
163.8 IPS |
