iPad17,4
Geekbench AI Score
5264
Single Precision Score
8556
Half Precision Score
6804
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 12:55 AM |
| Views | 1 |
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% |
2277
423.4 IPS |
|
|
Image Classification (HP)
|
100% |
3721
692.1 IPS |
|
|
Image Classification (Q)
|
96% |
2523
471.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2196
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3263
52.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3565
57.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11022
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20876
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17790
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2672
211.9 IPS |
|
|
Object Detection (HP)
|
97% |
4190
333.6 IPS |
|
|
Object Detection (Q)
|
94% |
2938
234.2 IPS |
|
|
Face Detection (SP)
|
100% |
4825
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8509
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4778
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9100
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15170
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10522
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27488
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41305
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33844
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5927
218.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7185
265.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5194
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5465
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5141
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9399
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9369
161.9 IPS |
