iPad17,1
Geekbench AI Score
5319
Single Precision Score
8497
Half Precision Score
6780
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:27 AM |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.9 IPS |
|
|
Image Classification (HP)
|
100% |
3527
656.0 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2350
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3388
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3742
60.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11386
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20984
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17893
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2657
210.8 IPS |
|
|
Object Detection (HP)
|
97% |
4208
335.0 IPS |
|
|
Object Detection (Q)
|
94% |
2927
233.3 IPS |
|
|
Face Detection (SP)
|
100% |
4803
57.1 IPS |
|
|
Face Detection (HP)
|
100% |
8518
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4733
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9083
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15149
117.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10547
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26024
33.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41322
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33659
43.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6004
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7332
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5175
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5561
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5549
7.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
5112
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8553
147.8 IPS |
|
|
Machine Translation (Q)
|
98% |
8747
151.2 IPS |
