iPad17,1
Geekbench AI Score
13320
Single Precision Score
23401
Half Precision Score
23478
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 04:59 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6139
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10221
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
9693
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9944
161.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
15356
248.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
16745
271.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37576
43.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
89969
105.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105965
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
6300
499.7 IPS |
|
|
Object Detection (HP)
|
100% |
10930
866.9 IPS |
|
|
Object Detection (Q)
|
93% |
9885
788.6 IPS |
|
|
Face Detection (SP)
|
100% |
18154
215.7 IPS |
|
|
Face Detection (HP)
|
100% |
32339
384.3 IPS |
|
|
Face Detection (Q)
|
100% |
26443
314.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
27565
212.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51437
396.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
51460
401.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78568
101.0 IPS |
|
|
Style Transfer (HP)
|
100% |
165072
212.2 IPS |
|
|
Style Transfer (Q)
|
96% |
201903
260.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15563
574.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30826
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28762
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5562
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
6193
106.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6858
118.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6813
117.7 IPS |
