iPad17,1
Geekbench AI Score
12590
Single Precision Score
22532
Half Precision Score
22610
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
6169
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
10342
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
9665
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9907
160.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15029
243.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
16409
266.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
36203
42.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
87988
102.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103489
121.3 IPS |
|
|
Object Detection (SP)
|
100% |
6275
497.7 IPS |
|
|
Object Detection (HP)
|
100% |
10818
858.1 IPS |
|
|
Object Detection (Q)
|
93% |
9798
781.6 IPS |
|
|
Face Detection (SP)
|
100% |
18192
216.2 IPS |
|
|
Face Detection (HP)
|
100% |
31706
376.7 IPS |
|
|
Face Detection (Q)
|
100% |
25977
308.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
27273
210.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
50094
385.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
50719
396.0 IPS |
|
|
Style Transfer (SP)
|
100% |
76597
98.5 IPS |
|
|
Style Transfer (HP)
|
100% |
162690
209.1 IPS |
|
|
Style Transfer (Q)
|
96% |
198067
255.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15050
555.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30369
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27972
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2042
2.73 KIPS |
|
|
Text Classification (HP)
|
99% |
5430
7.25 KIPS |
|
|
Text Classification (Q)
|
93% |
5578
7.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
6174
106.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5351
92.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5333
92.2 IPS |
