iPad17,4
Geekbench AI Score
5321
Single Precision Score
8650
Half Precision Score
6865
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 11:07 PM |
| 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, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2280
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
3711
690.1 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2366
38.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3466
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3761
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11376
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20961
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17847
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4254
338.6 IPS |
|
|
Object Detection (Q)
|
94% |
2947
234.9 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8508
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
4659
55.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9135
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15219
117.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10563
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27361
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41367
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33839
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6033
222.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7261
268.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5137
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
3024
4.04 KIPS |
|
|
Text Classification (HP)
|
99% |
5548
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5602
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5098
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9484
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9733
168.2 IPS |
