iPad15,4
Geekbench AI Score
4135
Single Precision Score
7031
Half Precision Score
5670
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Bierre |
| Upload Date | March 08 2025 02:27 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad15,4 |
| Model ID | iPad15,4 |
| Motherboard | J608AP |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1580
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
2949
548.4 IPS |
|
|
Image Classification (Q)
|
96% |
2039
380.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3298
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8599
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17357
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15028
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
97% |
3290
261.9 IPS |
|
|
Object Detection (Q)
|
94% |
2357
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
3509
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6903
82.0 IPS |
|
|
Face Detection (Q)
|
100% |
4039
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7099
54.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13550
104.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
9353
73.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22529
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
34052
43.8 IPS |
|
|
Style Transfer (Q)
|
96% |
28274
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6081
224.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4422
163.3 IPS |
|
|
Text Classification (SP)
|
100% |
2984
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5180
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5150
6.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
3530
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5849
101.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5936
102.6 IPS |
