iPad17,1
Geekbench AI Score
13412
Single Precision Score
23391
Half Precision Score
23459
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 27 2025 06:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6163
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10375
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9656
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9994
162.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15325
248.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16765
271.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37487
43.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
90206
105.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
105999
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
6332
502.3 IPS |
|
|
Object Detection (HP)
|
100% |
10931
867.1 IPS |
|
|
Object Detection (Q)
|
93% |
9885
788.6 IPS |
|
|
Face Detection (SP)
|
100% |
18422
218.9 IPS |
|
|
Face Detection (HP)
|
100% |
32389
384.9 IPS |
|
|
Face Detection (Q)
|
100% |
26482
314.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
28100
216.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
51100
393.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
51863
404.9 IPS |
|
|
Style Transfer (SP)
|
100% |
78863
101.4 IPS |
|
|
Style Transfer (HP)
|
100% |
164309
211.2 IPS |
|
|
Style Transfer (Q)
|
96% |
201311
259.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15675
578.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30662
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28779
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3264
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5567
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5505
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
6172
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6738
116.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6795
117.4 IPS |
