iPad17,1
Geekbench AI Score
13119
Single Precision Score
23374
Half Precision Score
23353
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 03:59 PM |
| Views | 1 |
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 | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6116
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10395
1.93 KIPS |
|
|
Image Classification (Q)
|
97% |
9674
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9990
161.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
15501
251.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16763
271.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
37605
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
91189
106.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106185
124.5 IPS |
|
|
Object Detection (SP)
|
100% |
6293
499.2 IPS |
|
|
Object Detection (HP)
|
100% |
10965
869.7 IPS |
|
|
Object Detection (Q)
|
93% |
9851
785.9 IPS |
|
|
Face Detection (SP)
|
100% |
18094
215.0 IPS |
|
|
Face Detection (HP)
|
100% |
32341
384.3 IPS |
|
|
Face Detection (Q)
|
100% |
26114
310.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27625
212.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
51145
394.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
51770
404.2 IPS |
|
|
Style Transfer (SP)
|
100% |
78460
100.9 IPS |
|
|
Style Transfer (HP)
|
100% |
165841
213.2 IPS |
|
|
Style Transfer (Q)
|
96% |
202218
261.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15523
573.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30871
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28797
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3036
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5471
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5521
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5651
97.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6522
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6544
113.1 IPS |
