iPad17,4
Geekbench AI Score
5298
Single Precision Score
8585
Half Precision Score
6791
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Jeffnt326 |
| Upload Date | November 15 2025 07:07 AM |
| Views | 4 |
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 | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.4 IPS |
|
|
Image Classification (HP)
|
100% |
3761
699.5 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2183
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3287
53.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3495
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11131
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
21008
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17871
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4191
333.7 IPS |
|
|
Object Detection (Q)
|
94% |
2935
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8505
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4764
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9090
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15298
118.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10598
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27518
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41359
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33786
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5935
219.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7108
262.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5063
187.0 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5489
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5364
7.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5152
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9523
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9748
168.5 IPS |
