iPad17,4
Geekbench AI Score
13362
Single Precision Score
23355
Half Precision Score
23465
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 06 2026 04:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
6115
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10070
1.87 KIPS |
|
|
Image Classification (Q)
|
97% |
9667
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9956
161.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15493
251.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16801
272.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37671
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
90980
106.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106401
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
6324
501.6 IPS |
|
|
Object Detection (HP)
|
100% |
10887
863.6 IPS |
|
|
Object Detection (Q)
|
93% |
9900
789.8 IPS |
|
|
Face Detection (SP)
|
100% |
18599
221.0 IPS |
|
|
Face Detection (HP)
|
100% |
32410
385.1 IPS |
|
|
Face Detection (Q)
|
100% |
26470
314.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27811
214.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
51173
394.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
51977
405.8 IPS |
|
|
Style Transfer (SP)
|
100% |
78681
101.1 IPS |
|
|
Style Transfer (HP)
|
100% |
165471
212.7 IPS |
|
|
Style Transfer (Q)
|
96% |
201730
260.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15412
569.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30723
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29004
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5538
7.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5498
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
6212
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6692
115.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6684
115.5 IPS |
