iPad17,1
Geekbench AI Score
5340
Single Precision Score
8619
Half Precision Score
6837
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 02 2026 12:51 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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 | 11.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2294
426.7 IPS |
|
|
Image Classification (HP)
|
100% |
3745
696.5 IPS |
|
|
Image Classification (Q)
|
96% |
2504
467.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2310
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3371
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3730
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11403
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20888
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17835
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4186
333.3 IPS |
|
|
Object Detection (Q)
|
94% |
2924
233.1 IPS |
|
|
Face Detection (SP)
|
100% |
4732
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
8445
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
4738
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9109
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15280
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10570
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27547
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41438
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33843
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5996
221.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7380
272.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5168
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5481
7.32 KIPS |
|
|
Text Classification (Q)
|
93% |
5522
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5116
88.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9485
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9486
163.9 IPS |
