iPad17,4
Geekbench AI Score
5352
Single Precision Score
8602
Half Precision Score
6869
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | yharpaz |
| Upload Date | October 30 2025 06:53 AM |
| Views | 3 |
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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2305
428.7 IPS |
|
|
Image Classification (HP)
|
100% |
3698
687.7 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3391
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3751
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11331
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20944
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17861
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4209
335.1 IPS |
|
|
Object Detection (Q)
|
94% |
2943
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4791
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8480
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4749
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9127
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15273
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10563
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27473
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41471
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33857
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6022
222.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7311
270.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5169
190.9 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5512
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5154
88.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9375
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9796
169.3 IPS |
