iPad15,3
Geekbench AI Score
4127
Single Precision Score
30722
Half Precision Score
34723
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 04:02 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1600
297.6 IPS |
|
|
Image Classification (HP)
|
100% |
16619
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
19721
3.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21598
350.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26875
435.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8931
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
121817
142.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
121286
142.2 IPS |
|
|
Object Detection (SP)
|
100% |
1818
144.2 IPS |
|
|
Object Detection (HP)
|
100% |
17881
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
20919
1.67 KIPS |
|
|
Face Detection (SP)
|
100% |
3555
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
38897
462.2 IPS |
|
|
Face Detection (Q)
|
100% |
50667
602.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7123
54.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97107
748.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
122408
957.0 IPS |
|
|
Style Transfer (SP)
|
100% |
22489
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
228118
293.2 IPS |
|
|
Style Transfer (Q)
|
96% |
221211
285.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46080
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54941
2.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2981
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5390
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5369
7.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3303
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4478
77.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4683
80.9 IPS |
