iPad17,4
Geekbench AI Score
5266
Single Precision Score
8535
Half Precision Score
6783
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 03:21 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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2266
421.4 IPS |
|
|
Image Classification (HP)
|
100% |
3729
693.4 IPS |
|
|
Image Classification (Q)
|
96% |
2495
465.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2204
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3277
53.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3516
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11310
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20909
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17855
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4178
332.6 IPS |
|
|
Object Detection (Q)
|
94% |
2922
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8463
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4749
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9082
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14988
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10504
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27464
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41231
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33686
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5962
220.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7152
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3016
4.03 KIPS |
|
|
Text Classification (HP)
|
99% |
5451
7.28 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5098
87.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9433
163.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9443
163.2 IPS |
