iPad15,3
Geekbench AI Score
8183
Single Precision Score
9304
Half Precision Score
8541
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 11 2025 02:00 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
4007
745.2 IPS |
|
|
Image Classification (HP)
|
100% |
4226
786.0 IPS |
|
|
Image Classification (Q)
|
96% |
3858
720.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6199
100.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6423
104.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
6256
101.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
22924
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23639
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23330
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4191
332.4 IPS |
|
|
Object Detection (HP)
|
100% |
4614
366.0 IPS |
|
|
Object Detection (Q)
|
92% |
4210
336.0 IPS |
|
|
Face Detection (SP)
|
100% |
11465
136.2 IPS |
|
|
Face Detection (HP)
|
100% |
14324
170.2 IPS |
|
|
Face Detection (Q)
|
100% |
11554
137.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18244
140.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19188
147.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
17745
138.6 IPS |
|
|
Style Transfer (SP)
|
100% |
48749
62.7 IPS |
|
|
Style Transfer (HP)
|
100% |
54093
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52894
68.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10408
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10187
376.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8993
332.1 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5324
7.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5346
7.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1787
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2038
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1672
28.9 IPS |
