iPad17,1
Geekbench AI Score
5354
Single Precision Score
8646
Half Precision Score
6834
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 09:19 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2300
427.8 IPS |
|
|
Image Classification (HP)
|
100% |
3723
692.4 IPS |
|
|
Image Classification (Q)
|
96% |
2511
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2292
37.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3422
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3773
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11356
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20937
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17711
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4234
337.1 IPS |
|
|
Object Detection (Q)
|
94% |
2937
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
4815
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8426
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4756
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9134
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15245
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10549
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27403
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41355
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33811
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7354
271.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5161
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3247
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5452
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5137
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9568
165.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9451
163.3 IPS |
