iPad15,4
Geekbench AI Score
4136
Single Precision Score
7002
Half Precision Score
5644
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 02:25 PM |
| Views | 5 |
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% |
1581
293.9 IPS |
|
|
Image Classification (HP)
|
100% |
2917
542.5 IPS |
|
|
Image Classification (Q)
|
96% |
2031
379.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1875
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2976
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3288
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8652
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17267
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14967
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.6 IPS |
|
|
Object Detection (Q)
|
94% |
2350
187.3 IPS |
|
|
Face Detection (SP)
|
100% |
3511
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
6915
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
4039
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7108
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13466
104.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
9326
72.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22511
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33975
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28198
36.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5236
193.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6073
224.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4389
162.1 IPS |
|
|
Text Classification (SP)
|
100% |
2952
3.94 KIPS |
|
|
Text Classification (HP)
|
100% |
5175
6.91 KIPS |
|
|
Text Classification (Q)
|
93% |
5133
6.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
3585
61.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5810
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5844
101.0 IPS |
