iPad15,3
Geekbench AI Score
4136
Single Precision Score
31111
Half Precision Score
34891
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:40 PM |
| Views | 6 |
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% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
17452
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
19969
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
21976
356.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
27021
438.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8911
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
120934
141.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
121236
142.1 IPS |
|
|
Object Detection (SP)
|
100% |
1821
144.4 IPS |
|
|
Object Detection (HP)
|
100% |
18171
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
20501
1.64 KIPS |
|
|
Face Detection (SP)
|
100% |
3547
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
39327
467.3 IPS |
|
|
Face Detection (Q)
|
100% |
51073
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7160
55.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
97904
754.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
123202
963.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22476
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
229594
295.1 IPS |
|
|
Style Transfer (Q)
|
96% |
220929
285.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5239
193.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46858
1.73 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55786
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
5357
7.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5411
7.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
3395
58.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4543
78.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4752
82.1 IPS |
