iPad17,4
Geekbench AI Score
13351
Single Precision Score
23293
Half Precision Score
23561
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 31 2026 04:01 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6145
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10131
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
9671
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9940
161.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
15358
249.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
16828
272.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
37659
43.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
90721
105.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
106341
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
6328
502.0 IPS |
|
|
Object Detection (HP)
|
100% |
10906
865.1 IPS |
|
|
Object Detection (Q)
|
93% |
9985
796.5 IPS |
|
|
Face Detection (SP)
|
100% |
18418
218.8 IPS |
|
|
Face Detection (HP)
|
100% |
32363
384.5 IPS |
|
|
Face Detection (Q)
|
100% |
26630
316.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
27698
213.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
51398
396.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
51909
405.3 IPS |
|
|
Style Transfer (SP)
|
100% |
78624
101.1 IPS |
|
|
Style Transfer (HP)
|
100% |
164713
211.7 IPS |
|
|
Style Transfer (Q)
|
96% |
202461
261.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15487
571.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30504
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28665
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3206
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5524
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5596
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
6209
107.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6617
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6797
117.5 IPS |
