iPad17,1
Geekbench AI Score
5315
Single Precision Score
8668
Half Precision Score
6848
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | zypher666 |
| Upload Date | December 29 2025 06:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2289
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
3752
697.8 IPS |
|
|
Image Classification (Q)
|
96% |
2523
471.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2314
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3464
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3803
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11393
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20901
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17849
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2685
212.9 IPS |
|
|
Object Detection (HP)
|
97% |
4217
335.7 IPS |
|
|
Object Detection (Q)
|
94% |
2889
230.3 IPS |
|
|
Face Detection (SP)
|
100% |
4810
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8522
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4778
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9155
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15280
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10592
82.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27371
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41169
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33763
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6005
221.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7294
269.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5158
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
2968
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
5494
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5174
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9734
168.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9478
163.8 IPS |
