iPad15,3
Geekbench AI Score
8202
Single Precision Score
9211
Half Precision Score
8545
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 12:51 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.7.1 |
| 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% |
4016
746.9 IPS |
|
|
Image Classification (HP)
|
100% |
4219
784.6 IPS |
|
|
Image Classification (Q)
|
96% |
3852
719.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6155
99.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6444
104.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
6241
101.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22916
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23641
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23355
27.4 IPS |
|
|
Object Detection (SP)
|
100% |
4206
333.7 IPS |
|
|
Object Detection (HP)
|
100% |
4649
368.8 IPS |
|
|
Object Detection (Q)
|
92% |
4234
338.0 IPS |
|
|
Face Detection (SP)
|
100% |
11488
136.5 IPS |
|
|
Face Detection (HP)
|
100% |
14386
170.9 IPS |
|
|
Face Detection (Q)
|
100% |
11620
138.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
18272
140.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
19235
148.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
17761
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48965
62.9 IPS |
|
|
Style Transfer (HP)
|
100% |
54088
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52843
68.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10438
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10173
375.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8981
331.6 IPS |
|
|
Text Classification (SP)
|
100% |
2990
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5330
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5317
7.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1805
31.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1677
29.0 IPS |
