iPad17,4
Geekbench AI Score
5333
Single Precision Score
8628
Half Precision Score
6851
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | February 04 2026 12:50 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.0 IPS |
|
|
Image Classification (HP)
|
100% |
3671
682.7 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3391
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3748
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11024
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20971
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17866
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2665
211.4 IPS |
|
|
Object Detection (HP)
|
97% |
4211
335.2 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4787
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8520
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4756
56.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9131
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15240
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10561
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27569
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41438
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33756
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5988
221.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7360
271.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5182
191.3 IPS |
|
|
Text Classification (SP)
|
100% |
3210
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5540
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5632
7.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5175
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9489
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9434
163.0 IPS |
