iPad17,1
Geekbench AI Score
2926
Single Precision Score
26797
Half Precision Score
35621
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | December 31 2025 11:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1246
231.7 IPS |
|
|
Image Classification (HP)
|
100% |
11452
2.13 KIPS |
|
|
Image Classification (Q)
|
97% |
15186
2.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1380
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14425
233.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18614
301.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6201
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
105533
123.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
192292
225.4 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
100% |
13936
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
16787
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
30042
357.0 IPS |
|
|
Face Detection (Q)
|
100% |
41127
488.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4971
38.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
80851
622.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
126817
991.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14609
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
184268
236.9 IPS |
|
|
Style Transfer (Q)
|
96% |
257437
332.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3256
120.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44105
1.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65313
2.41 KIPS |
|
|
Text Classification (SP)
|
100% |
1709
2.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3655
4.88 KIPS |
|
|
Text Classification (Q)
|
93% |
3735
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3040
52.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10893
187.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11005
190.2 IPS |
