iPad17,4
Geekbench AI Score
5300
Single Precision Score
8644
Half Precision Score
6846
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 05 2026 11:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| 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 | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
3683
684.9 IPS |
|
|
Image Classification (Q)
|
96% |
2486
464.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3478
56.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3800
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11008
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20902
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17852
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2655
210.6 IPS |
|
|
Object Detection (HP)
|
97% |
4182
332.9 IPS |
|
|
Object Detection (Q)
|
94% |
2921
232.9 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8495
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4759
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9127
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15174
117.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10524
82.1 IPS |
|
|
Style Transfer (SP)
|
100% |
27517
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41331
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33758
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7315
270.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5155
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
3052
4.07 KIPS |
|
|
Text Classification (HP)
|
99% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4968
85.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9586
165.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9554
165.1 IPS |
