iPad17,1
Geekbench AI Score
5382
Single Precision Score
8589
Half Precision Score
6858
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 11:02 AM |
| Views | 3 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2279
423.8 IPS |
|
|
Image Classification (HP)
|
100% |
3515
653.6 IPS |
|
|
Image Classification (Q)
|
96% |
2482
463.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2353
38.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3797
61.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11197
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20963
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17889
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4195
333.9 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4821
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8519
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4755
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15157
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10534
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27389
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41394
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33788
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6021
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7352
271.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
5604
7.48 KIPS |
|
|
Text Classification (Q)
|
93% |
5526
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5142
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9363
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9609
166.1 IPS |
