iPad17,4
Geekbench AI Score
5348
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 04 2026 10:03 PM |
| Views | 4 |
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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
3688
685.8 IPS |
|
|
Image Classification (Q)
|
96% |
2487
464.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2323
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3395
55.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3719
60.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11070
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20941
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17883
21.0 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4164
331.5 IPS |
|
|
Object Detection (Q)
|
94% |
2939
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
8564
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
4780
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9144
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15267
118.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10546
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27645
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
41500
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33910
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6019
222.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7233
267.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5141
189.8 IPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5589
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5501
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5168
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9520
164.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9512
164.4 IPS |
