iPad17,4
Geekbench AI Score
5277
Single Precision Score
8543
Half Precision Score
6782
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 10:06 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% |
2261
420.4 IPS |
|
|
Image Classification (HP)
|
100% |
3636
676.1 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3302
53.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3559
57.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11374
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20734
24.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
17800
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2658
210.8 IPS |
|
|
Object Detection (HP)
|
97% |
4188
333.4 IPS |
|
|
Object Detection (Q)
|
94% |
2908
231.8 IPS |
|
|
Face Detection (SP)
|
100% |
4758
56.5 IPS |
|
|
Face Detection (HP)
|
100% |
8453
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4738
56.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9014
69.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
15196
117.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10542
82.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26306
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41287
53.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33715
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7291
269.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5275
194.8 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5472
7.30 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5223
90.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9392
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9275
160.3 IPS |
