iPad17,2
Geekbench AI Score
12740
Single Precision Score
22771
Half Precision Score
22796
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | adrianclark |
| Upload Date | October 23 2025 08:07 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,2 |
| Model ID | iPad17,2 |
| Motherboard | J818AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6112
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10284
1.91 KIPS |
|
|
Image Classification (Q)
|
97% |
9559
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9926
160.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15490
251.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
16735
271.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
37677
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
91120
106.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
106929
125.3 IPS |
|
|
Object Detection (SP)
|
100% |
6264
496.9 IPS |
|
|
Object Detection (HP)
|
100% |
10847
860.4 IPS |
|
|
Object Detection (Q)
|
93% |
9735
776.6 IPS |
|
|
Face Detection (SP)
|
100% |
18094
215.0 IPS |
|
|
Face Detection (HP)
|
100% |
31733
377.1 IPS |
|
|
Face Detection (Q)
|
100% |
25832
306.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27712
213.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
50815
391.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
51323
400.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78783
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
166095
213.5 IPS |
|
|
Style Transfer (Q)
|
96% |
202254
261.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15707
580.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30618
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28996
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (HP)
|
99% |
5467
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5502
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6080
104.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5311
91.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5321
92.0 IPS |
