iPad17,4
Geekbench AI Score
5340
Single Precision Score
8615
Half Precision Score
6829
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 11 2026 03:43 AM |
| 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% |
2278
423.7 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.5 IPS |
|
|
Image Classification (Q)
|
96% |
2502
467.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2317
37.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3388
54.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3714
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11028
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
20897
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17857
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (HP)
|
97% |
4199
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2942
234.5 IPS |
|
|
Face Detection (SP)
|
100% |
4810
57.2 IPS |
|
|
Face Detection (HP)
|
100% |
8522
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4792
56.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9137
70.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15221
117.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10564
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
27664
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
41495
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33902
43.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6012
222.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7230
267.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5113
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
3208
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5513
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5480
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5159
88.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9500
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9404
162.5 IPS |
