iPad17,4
Geekbench AI Score
5215
Single Precision Score
8538
Half Precision Score
6798
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 09:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2282
424.4 IPS |
|
|
Image Classification (HP)
|
100% |
3658
680.2 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2225
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3308
53.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3592
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11184
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20811
24.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
17760
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2906
231.7 IPS |
|
|
Face Detection (SP)
|
100% |
4688
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
8422
100.1 IPS |
|
|
Face Detection (Q)
|
100% |
4732
56.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9068
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15107
116.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10503
82.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25452
32.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41075
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33584
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5912
218.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7217
266.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5265
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
3032
4.05 KIPS |
|
|
Text Classification (HP)
|
99% |
5475
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5076
87.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9531
164.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9352
161.6 IPS |
