iPad17,1
Geekbench AI Score
14359
Single Precision Score
25434
Half Precision Score
26829
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 17 2026 03:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5990
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
10010
1.86 KIPS |
|
|
Image Classification (Q)
|
99% |
10368
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9959
161.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
15627
253.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
16533
268.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
37738
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
91007
106.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
119005
139.5 IPS |
|
|
Object Detection (SP)
|
100% |
6361
504.5 IPS |
|
|
Object Detection (HP)
|
100% |
11181
886.9 IPS |
|
|
Object Detection (Q)
|
94% |
11593
924.3 IPS |
|
|
Face Detection (SP)
|
100% |
19165
227.7 IPS |
|
|
Face Detection (HP)
|
100% |
34956
415.4 IPS |
|
|
Face Detection (Q)
|
100% |
33692
400.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27739
213.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
52499
404.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
56099
438.0 IPS |
|
|
Style Transfer (SP)
|
100% |
79138
101.7 IPS |
|
|
Style Transfer (HP)
|
100% |
164368
211.3 IPS |
|
|
Style Transfer (Q)
|
96% |
208246
268.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15427
569.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29855
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28673
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
5942
7.93 KIPS |
|
|
Text Classification (HP)
|
99% |
9761
13.0 KIPS |
|
|
Text Classification (Q)
|
93% |
9747
13.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
6750
116.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8098
139.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7428
128.4 IPS |
