iPad17,1
Geekbench AI Score
5335
Single Precision Score
8654
Half Precision Score
6870
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 11:53 PM |
| Views | 2 |
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% |
2289
425.7 IPS |
|
|
Image Classification (HP)
|
100% |
3716
691.0 IPS |
|
|
Image Classification (Q)
|
96% |
2513
469.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2301
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3420
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3760
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11323
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20932
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17781
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2698
214.0 IPS |
|
|
Object Detection (HP)
|
97% |
4238
337.4 IPS |
|
|
Object Detection (Q)
|
94% |
2969
236.7 IPS |
|
|
Face Detection (SP)
|
100% |
4623
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
8538
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4764
56.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9163
70.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
15279
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10608
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27440
35.3 IPS |
|
|
Style Transfer (HP)
|
100% |
41450
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33826
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7231
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5172
191.0 IPS |
|
|
Text Classification (SP)
|
100% |
3212
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5501
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5572
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5173
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9723
168.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9532
164.7 IPS |
