iPad17,4
Geekbench AI Score
4928
Single Precision Score
8421
Half Precision Score
6633
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 09:01 PM |
| Views | 3 |
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 | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2301
428.0 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.7 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2377
38.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3487
56.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3801
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11378
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20992
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17868
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2634
208.9 IPS |
|
|
Object Detection (HP)
|
97% |
4188
333.4 IPS |
|
|
Object Detection (Q)
|
94% |
2541
202.6 IPS |
|
|
Face Detection (SP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8419
100.0 IPS |
|
|
Face Detection (Q)
|
100% |
4163
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6418
49.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15113
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10570
82.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20277
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41246
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33695
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5918
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7373
272.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5115
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
2898
3.87 KIPS |
|
|
Text Classification (HP)
|
99% |
5289
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5268
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5110
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7704
133.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9540
164.9 IPS |
