iPad17,4
Geekbench AI Score
5313
Single Precision Score
8579
Half Precision Score
6840
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 05:00 AM |
| Views | 6 |
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 | 4.43 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2284
424.7 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.7 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3243
52.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3570
57.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11386
13.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
20961
24.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17847
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
2682
212.8 IPS |
|
|
Object Detection (HP)
|
97% |
4189
333.5 IPS |
|
|
Object Detection (Q)
|
94% |
2939
234.3 IPS |
|
|
Face Detection (SP)
|
100% |
4821
57.3 IPS |
|
|
Face Detection (HP)
|
100% |
8529
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4780
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9112
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15287
118.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10580
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27169
34.9 IPS |
|
|
Style Transfer (HP)
|
100% |
41255
53.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33828
43.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5976
220.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7250
267.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5239
193.5 IPS |
|
|
Text Classification (SP)
|
100% |
3182
4.25 KIPS |
|
|
Text Classification (HP)
|
99% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5530
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9459
163.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9640
166.6 IPS |
