iPad17,4
Geekbench AI Score
5275
Single Precision Score
8562
Half Precision Score
6781
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 21 2025 08:23 AM |
| 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 | 4.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2266
421.4 IPS |
|
|
Image Classification (HP)
|
100% |
3669
682.4 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3248
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3518
57.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11210
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20898
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17835
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4200
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2933
233.8 IPS |
|
|
Face Detection (SP)
|
100% |
4757
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8464
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4736
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9074
69.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
15239
117.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10529
82.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27338
35.1 IPS |
|
|
Style Transfer (HP)
|
100% |
41428
53.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33748
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5831
215.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7083
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5078
187.5 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5519
7.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5132
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9479
163.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9447
163.2 IPS |
