iPad17,1
Geekbench AI Score
5326
Single Precision Score
8662
Half Precision Score
6838
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | TheSub |
| Upload Date | January 28 2026 01:25 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.38 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% |
3721
691.9 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3416
55.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3753
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11040
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20984
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17887
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.9 IPS |
|
|
Object Detection (HP)
|
97% |
4201
334.4 IPS |
|
|
Object Detection (Q)
|
94% |
2924
233.0 IPS |
|
|
Face Detection (SP)
|
100% |
4765
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
8501
101.0 IPS |
|
|
Face Detection (Q)
|
100% |
4741
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9111
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15183
117.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10556
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27594
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41435
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33845
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6010
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7332
270.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5153
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5666
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
5137
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9558
165.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9564
165.3 IPS |
