iPad17,4
Geekbench AI Score
5341
Single Precision Score
8616
Half Precision Score
6837
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 18 2026 05:48 AM |
| Views | 9 |
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 | 4.39 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2306
428.8 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.2 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3391
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3734
60.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11059
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20942
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17917
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
97% |
4185
333.2 IPS |
|
|
Object Detection (Q)
|
94% |
2935
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
4798
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
8540
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4770
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9128
70.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
15240
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10545
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27538
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
41440
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33853
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6012
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7253
267.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5137
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5544
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
5189
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9463
163.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9424
162.9 IPS |
