iPad17,1
Geekbench AI Score
5295
Single Precision Score
8824
Half Precision Score
6866
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 01:48 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% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
3712
690.2 IPS |
|
|
Image Classification (Q)
|
96% |
2509
468.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2316
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3431
55.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3771
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11248
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20998
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17874
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4242
337.7 IPS |
|
|
Object Detection (Q)
|
94% |
2941
234.4 IPS |
|
|
Face Detection (SP)
|
100% |
4822
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8504
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4735
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9132
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15252
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10586
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26846
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41506
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33778
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7316
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5177
191.2 IPS |
|
|
Text Classification (SP)
|
100% |
2978
3.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6543
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
5473
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
5143
88.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9792
169.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9771
168.9 IPS |
