iPad15,4
Geekbench AI Score
8096
Single Precision Score
9308
Half Precision Score
8587
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 03:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
4094
761.3 IPS |
|
|
Image Classification (HP)
|
100% |
4360
810.9 IPS |
|
|
Image Classification (Q)
|
96% |
3937
735.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
6177
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6500
105.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6229
101.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
21688
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24054
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23459
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4207
333.7 IPS |
|
|
Object Detection (HP)
|
100% |
4586
363.7 IPS |
|
|
Object Detection (Q)
|
92% |
4228
337.5 IPS |
|
|
Face Detection (SP)
|
100% |
11425
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
14493
172.2 IPS |
|
|
Face Detection (Q)
|
100% |
11657
138.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17720
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19323
148.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17738
138.5 IPS |
|
|
Style Transfer (SP)
|
100% |
47801
61.4 IPS |
|
|
Style Transfer (HP)
|
100% |
54704
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53052
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10220
377.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10373
383.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8914
329.2 IPS |
|
|
Text Classification (SP)
|
100% |
3253
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5757
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5476
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1630
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1707
29.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1675
28.9 IPS |
