iPad15,3
Geekbench AI Score
8262
Single Precision Score
9482
Half Precision Score
8620
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | islaeh |
| Upload Date | April 24 2025 05:24 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
4018
747.2 IPS |
|
|
Image Classification (HP)
|
100% |
4230
786.7 IPS |
|
|
Image Classification (Q)
|
96% |
3858
720.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6250
101.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
6452
104.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6222
100.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
22922
26.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
24036
28.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
23435
27.5 IPS |
|
|
Object Detection (SP)
|
100% |
4202
333.3 IPS |
|
|
Object Detection (HP)
|
100% |
4630
367.3 IPS |
|
|
Object Detection (Q)
|
92% |
4226
337.4 IPS |
|
|
Face Detection (SP)
|
100% |
11425
135.8 IPS |
|
|
Face Detection (HP)
|
100% |
14356
170.6 IPS |
|
|
Face Detection (Q)
|
100% |
11593
137.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
18231
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19786
152.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
18184
142.2 IPS |
|
|
Style Transfer (SP)
|
100% |
48418
62.2 IPS |
|
|
Style Transfer (HP)
|
100% |
55021
70.7 IPS |
|
|
Style Transfer (Q)
|
96% |
53356
68.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10445
385.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11345
418.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9738
359.6 IPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5284
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5250
7.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1953
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2065
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1658
28.7 IPS |
