iPad17,1
Geekbench AI Score
5355
Single Precision Score
8643
Half Precision Score
6861
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 03:56 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| 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 | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (HP)
|
100% |
3674
683.3 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3391
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3744
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11105
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20968
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17871
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
97% |
4211
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2935
234.0 IPS |
|
|
Face Detection (SP)
|
100% |
4748
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
8440
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9135
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15261
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10554
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27372
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41216
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33697
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7330
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5203
192.1 IPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5534
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5345
92.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9714
167.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9722
168.0 IPS |
