iPad17,4
Geekbench AI Score
5268
Single Precision Score
8565
Half Precision Score
6793
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPad17,4 |
| Model ID | iPad17,4 |
| Motherboard | J821AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.1 IPS |
|
|
Image Classification (HP)
|
100% |
3718
691.4 IPS |
|
|
Image Classification (Q)
|
96% |
2509
468.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3292
53.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3499
56.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10976
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20936
24.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
17815
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4200
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2929
233.5 IPS |
|
|
Face Detection (SP)
|
100% |
4735
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
8488
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4746
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9115
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15255
117.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10560
82.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27397
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41357
53.2 IPS |
|
|
Style Transfer (Q)
|
96% |
33767
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5858
216.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7144
263.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5115
188.9 IPS |
|
|
Text Classification (SP)
|
100% |
3200
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
5518
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5485
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
5119
88.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9362
161.8 IPS |
|
|
Machine Translation (Q)
|
98% |
9620
166.2 IPS |
