iPad17,2
Geekbench AI Score
5234
Single Precision Score
8602
Half Precision Score
6793
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 06:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| 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% |
2166
402.8 IPS |
|
|
Image Classification (HP)
|
100% |
3699
687.9 IPS |
|
|
Image Classification (Q)
|
96% |
2444
456.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3379
54.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3558
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11340
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20916
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17766
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
97% |
4209
335.1 IPS |
|
|
Object Detection (Q)
|
94% |
2921
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8338
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
4714
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9088
70.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
15315
118.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10528
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27160
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40983
52.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33697
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5891
217.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7198
265.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5195
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
5594
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5649
7.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9576
165.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9456
163.4 IPS |
