iPad17,1
Geekbench AI Score
5290
Single Precision Score
8596
Half Precision Score
6811
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:10 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2264
421.1 IPS |
|
|
Image Classification (HP)
|
100% |
3676
683.6 IPS |
|
|
Image Classification (Q)
|
96% |
2496
466.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2252
36.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3410
55.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3549
57.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11351
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20898
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17860
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4187
333.3 IPS |
|
|
Object Detection (Q)
|
94% |
2937
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
4789
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8492
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4735
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9021
69.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15234
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10552
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27334
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41208
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33746
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5930
219.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7138
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3094
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
5507
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5461
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9587
165.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9749
168.5 IPS |
