iPad17,4
Geekbench AI Score
5313
Single Precision Score
8589
Half Precision Score
6877
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 05:12 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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.2 IPS |
|
|
Image Classification (HP)
|
100% |
3708
689.5 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3399
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3774
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11284
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20935
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17886
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2673
212.0 IPS |
|
|
Object Detection (HP)
|
97% |
4226
336.4 IPS |
|
|
Object Detection (Q)
|
94% |
2946
234.8 IPS |
|
|
Face Detection (SP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8339
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
4751
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9031
69.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15193
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10607
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27323
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41503
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33845
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6018
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7335
270.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5527
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5558
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9193
158.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9712
167.8 IPS |
