iPad17,4
Geekbench AI Score
5342
Single Precision Score
8637
Half Precision Score
6862
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 04 2026 09:55 PM |
| Views | 5 |
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 | 4.42 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.2 IPS |
|
|
Image Classification (HP)
|
100% |
3691
686.5 IPS |
|
|
Image Classification (Q)
|
96% |
2490
465.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3387
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3768
61.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11079
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20941
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17894
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2676
212.3 IPS |
|
|
Object Detection (HP)
|
97% |
4177
332.5 IPS |
|
|
Object Detection (Q)
|
94% |
2943
234.6 IPS |
|
|
Face Detection (SP)
|
100% |
4846
57.6 IPS |
|
|
Face Detection (HP)
|
100% |
8558
101.7 IPS |
|
|
Face Detection (Q)
|
100% |
4792
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9180
70.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
15224
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10528
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27573
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41442
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33941
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6015
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7285
269.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5166
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3188
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5599
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5527
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5079
87.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9599
165.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9585
165.6 IPS |
