iPad17,1
Geekbench AI Score
5294
Single Precision Score
8634
Half Precision Score
6824
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 01:14 PM |
| 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% |
2272
422.6 IPS |
|
|
Image Classification (HP)
|
100% |
3678
684.0 IPS |
|
|
Image Classification (Q)
|
96% |
2486
464.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2352
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3462
56.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3772
61.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11038
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20938
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17864
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4175
332.4 IPS |
|
|
Object Detection (Q)
|
94% |
2924
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
4773
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8476
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4734
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9100
70.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
15270
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10562
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27612
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41445
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33779
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6002
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7307
269.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5157
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
99% |
5558
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5426
7.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5128
88.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9504
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9468
163.6 IPS |
