iPad17,4
Geekbench AI Score
5330
Single Precision Score
8665
Half Precision Score
6840
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 08:40 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2253
418.9 IPS |
|
|
Image Classification (HP)
|
100% |
3737
695.0 IPS |
|
|
Image Classification (Q)
|
96% |
2464
460.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2376
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3444
55.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3748
60.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11392
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20892
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17885
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4205
334.8 IPS |
|
|
Object Detection (Q)
|
94% |
2926
233.3 IPS |
|
|
Face Detection (SP)
|
100% |
4798
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8529
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4737
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9151
70.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
15272
118.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10577
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27582
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41445
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33865
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6025
222.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7344
271.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5191
191.7 IPS |
|
|
Text Classification (SP)
|
100% |
3035
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9469
163.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9476
163.8 IPS |
