iPad17,1
Geekbench AI Score
5279
Single Precision Score
8644
Half Precision Score
6818
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 10 2025 09:10 PM |
| Views | 1 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2297
427.1 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.6 IPS |
|
|
Image Classification (Q)
|
96% |
2520
470.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2332
37.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3432
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3754
60.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11187
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20745
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17817
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4214
335.5 IPS |
|
|
Object Detection (Q)
|
94% |
2934
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
4772
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8489
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4714
56.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9126
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15248
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10515
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26751
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41121
52.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33586
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7425
274.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5191
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3008
4.01 KIPS |
|
|
Text Classification (HP)
|
99% |
5638
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5575
7.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5001
86.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9362
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9111
157.4 IPS |
