iPad15,3
Geekbench AI Score
8128
Single Precision Score
9523
Half Precision Score
8601
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | StanH |
| Upload Date | August 22 2025 12:00 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPad15,3 |
| Model ID | iPad15,3 |
| Motherboard | J607AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4075
757.8 IPS |
|
|
Image Classification (HP)
|
100% |
4427
823.2 IPS |
|
|
Image Classification (Q)
|
96% |
3923
732.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
6096
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6469
104.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6269
101.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21666
25.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
24067
28.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
23457
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4200
333.1 IPS |
|
|
Object Detection (HP)
|
100% |
4551
361.0 IPS |
|
|
Object Detection (Q)
|
92% |
4228
337.5 IPS |
|
|
Face Detection (SP)
|
100% |
11367
135.1 IPS |
|
|
Face Detection (HP)
|
100% |
14398
171.1 IPS |
|
|
Face Detection (Q)
|
100% |
11602
137.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17719
136.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19293
148.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
17646
137.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47309
60.8 IPS |
|
|
Style Transfer (HP)
|
100% |
54681
70.3 IPS |
|
|
Style Transfer (Q)
|
96% |
53058
68.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10087
372.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10273
379.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8854
326.9 IPS |
|
|
Text Classification (SP)
|
100% |
3223
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5531
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1799
31.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1712
29.6 IPS |
