iPad17,4
Geekbench AI Score
5282
Single Precision Score
8557
Half Precision Score
6796
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MikeM3 |
| Upload Date | October 23 2025 07:30 AM |
| Views | 9 |
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 | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
3685
685.2 IPS |
|
|
Image Classification (Q)
|
96% |
2490
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2179
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3269
53.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3539
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11041
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20931
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17842
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4191
333.6 IPS |
|
|
Object Detection (Q)
|
94% |
2919
232.7 IPS |
|
|
Face Detection (SP)
|
100% |
4782
56.8 IPS |
|
|
Face Detection (HP)
|
100% |
8483
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4767
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9110
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15278
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10566
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27470
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41396
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33868
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7128
263.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5132
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5540
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5550
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5131
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9412
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9427
162.9 IPS |
