iPad17,1
Geekbench AI Score
5299
Single Precision Score
8625
Half Precision Score
6863
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 12:02 AM |
| 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% |
2260
420.2 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.6 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2341
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3421
55.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3766
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11292
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
20950
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17865
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
97% |
4210
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2934
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4794
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8472
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4735
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9117
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15188
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10532
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26774
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41543
53.4 IPS |
|
|
Style Transfer (Q)
|
96% |
33819
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6003
221.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7362
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5175
191.1 IPS |
|
|
Text Classification (SP)
|
100% |
3141
4.19 KIPS |
|
|
Text Classification (HP)
|
99% |
5474
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5541
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
4999
86.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9584
165.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9736
168.3 IPS |
