iPad15,3
Geekbench AI Score
8222
Single Precision Score
9213
Half Precision Score
8554
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Fusedstamen |
| Upload Date | June 23 2025 08:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
4030
749.4 IPS |
|
|
Image Classification (HP)
|
100% |
4228
786.2 IPS |
|
|
Image Classification (Q)
|
96% |
3854
719.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
6250
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6452
104.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6247
101.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
22916
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23636
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23336
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4185
332.0 IPS |
|
|
Object Detection (HP)
|
100% |
4630
367.2 IPS |
|
|
Object Detection (Q)
|
92% |
4240
338.5 IPS |
|
|
Face Detection (SP)
|
100% |
11469
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
14371
170.8 IPS |
|
|
Face Detection (Q)
|
100% |
11615
138.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
18256
140.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
19200
147.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
17782
138.9 IPS |
|
|
Style Transfer (SP)
|
100% |
48596
62.5 IPS |
|
|
Style Transfer (HP)
|
100% |
54075
69.5 IPS |
|
|
Style Transfer (Q)
|
96% |
52803
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10454
386.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10180
375.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9008
332.6 IPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5290
7.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5250
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1847
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1838
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1709
29.5 IPS |
