iPad17,4
Geekbench AI Score
5259
Single Precision Score
8601
Half Precision Score
6810
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 29 2025 09:29 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2269
422.0 IPS |
|
|
Image Classification (HP)
|
100% |
3668
682.2 IPS |
|
|
Image Classification (Q)
|
96% |
2493
465.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2222
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3612
58.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10993
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20882
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17796
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2648
210.1 IPS |
|
|
Object Detection (HP)
|
97% |
4142
329.7 IPS |
|
|
Object Detection (Q)
|
94% |
2920
232.7 IPS |
|
|
Face Detection (SP)
|
100% |
4792
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8496
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4757
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9051
69.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15145
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10472
81.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27416
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41242
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33846
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5994
221.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7273
268.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5289
195.3 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5583
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5131
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9455
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9390
162.3 IPS |
