iPad15,3
Geekbench AI Score
8176
Single Precision Score
9248
Half Precision Score
8524
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:39 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% |
4012
746.1 IPS |
|
|
Image Classification (HP)
|
100% |
4215
783.8 IPS |
|
|
Image Classification (Q)
|
96% |
3852
719.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
6212
100.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6439
104.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6246
101.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
22908
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
23612
27.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
23321
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
4187
332.1 IPS |
|
|
Object Detection (HP)
|
100% |
4620
366.5 IPS |
|
|
Object Detection (Q)
|
92% |
4205
335.6 IPS |
|
|
Face Detection (SP)
|
100% |
11472
136.3 IPS |
|
|
Face Detection (HP)
|
100% |
14355
170.6 IPS |
|
|
Face Detection (Q)
|
100% |
11600
137.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18241
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19167
147.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
17763
138.7 IPS |
|
|
Style Transfer (SP)
|
100% |
48709
62.6 IPS |
|
|
Style Transfer (HP)
|
100% |
54013
69.4 IPS |
|
|
Style Transfer (Q)
|
96% |
52786
68.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10437
385.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10166
375.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8972
331.3 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5280
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5282
7.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1772
30.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1667
28.8 IPS |
