iPad17,1
Geekbench AI Score
5320
Single Precision Score
8661
Half Precision Score
6849
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 30 2025 10:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.5 IPS |
|
|
Image Classification (HP)
|
100% |
3740
695.6 IPS |
|
|
Image Classification (Q)
|
96% |
2515
469.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2349
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3501
56.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3820
61.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11041
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20969
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17869
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
97% |
4215
335.6 IPS |
|
|
Object Detection (Q)
|
94% |
2943
234.6 IPS |
|
|
Face Detection (SP)
|
100% |
4819
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8513
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4764
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9143
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15323
118.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10573
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27629
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41389
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33796
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6017
222.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7327
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5191
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
2997
4.00 KIPS |
|
|
Text Classification (HP)
|
99% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5394
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5206
89.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9412
162.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9438
163.1 IPS |
