iPad15,3
Geekbench AI Score
4134
Single Precision Score
29013
Half Precision Score
32829
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 07:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1606
298.6 IPS |
|
|
Image Classification (HP)
|
100% |
15352
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
18004
3.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21899
355.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
27599
447.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8872
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119218
139.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
119088
139.6 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
15984
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
19708
1.57 KIPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
39439
468.6 IPS |
|
|
Face Detection (Q)
|
100% |
51463
611.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7020
54.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87338
672.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
108770
850.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22481
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
220195
283.1 IPS |
|
|
Style Transfer (Q)
|
96% |
212011
273.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5204
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37116
1.37 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42352
1.56 KIPS |
|
|
Text Classification (SP)
|
100% |
3109
4.15 KIPS |
|
|
Text Classification (HP)
|
99% |
5227
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5239
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3332
57.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4483
77.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4735
81.8 IPS |
