iPad17,4
Geekbench AI Score
13375
Single Precision Score
23360
Half Precision Score
23537
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | tintinesk5 |
| Upload Date | January 13 2026 11:51 PM |
| Views | 6 |
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% |
6149
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
10164
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
9404
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9953
161.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
15509
251.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
16868
273.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
37738
44.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
91177
106.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106659
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
6336
502.6 IPS |
|
|
Object Detection (HP)
|
100% |
10935
867.4 IPS |
|
|
Object Detection (Q)
|
93% |
9901
789.9 IPS |
|
|
Face Detection (SP)
|
100% |
18603
221.0 IPS |
|
|
Face Detection (HP)
|
100% |
32369
384.6 IPS |
|
|
Face Detection (Q)
|
100% |
26757
317.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
27727
213.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
51358
395.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
51958
405.7 IPS |
|
|
Style Transfer (SP)
|
100% |
78822
101.3 IPS |
|
|
Style Transfer (HP)
|
100% |
164844
211.9 IPS |
|
|
Style Transfer (Q)
|
96% |
202711
261.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15544
574.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30340
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28968
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5516
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
6180
106.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6716
115.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6991
120.8 IPS |
