iPad17,4
Geekbench AI Score
5330
Single Precision Score
8625
Half Precision Score
6838
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 06 2026 04:40 AM |
| 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% |
2283
424.6 IPS |
|
|
Image Classification (HP)
|
100% |
3710
689.9 IPS |
|
|
Image Classification (Q)
|
96% |
2504
467.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3398
55.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3710
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10944
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20933
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17857
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4197
334.1 IPS |
|
|
Object Detection (Q)
|
94% |
2937
234.1 IPS |
|
|
Face Detection (SP)
|
100% |
4791
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
8526
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4772
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9148
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15245
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10588
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27640
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41470
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33944
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6007
221.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7305
269.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5154
190.3 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5512
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5516
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9479
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9416
162.7 IPS |
