iPad15,4
Geekbench AI Score
8042
Single Precision Score
9222
Half Precision Score
8593
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | shakal00 |
| Upload Date | September 23 2025 05:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.06 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4065
755.9 IPS |
|
|
Image Classification (HP)
|
100% |
4293
798.4 IPS |
|
|
Image Classification (Q)
|
96% |
3932
734.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6107
99.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6497
105.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6257
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
21666
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24034
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23453
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4199
333.0 IPS |
|
|
Object Detection (HP)
|
100% |
4553
361.1 IPS |
|
|
Object Detection (Q)
|
92% |
4237
338.2 IPS |
|
|
Face Detection (SP)
|
100% |
11426
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
14509
172.4 IPS |
|
|
Face Detection (Q)
|
100% |
11645
138.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17752
136.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19316
148.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17674
138.0 IPS |
|
|
Style Transfer (SP)
|
100% |
47347
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54707
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53069
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10057
371.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10252
378.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8849
326.8 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
5478
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5442
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1628
28.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1694
29.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1709
29.5 IPS |
