iPad15,7
Geekbench AI Score
3573
Single Precision Score
6188
Half Precision Score
5061
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 04:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad15,7 |
| Model ID | iPad15,7 |
| Motherboard | J481AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 5 Cores |
| Identifier | ARM |
| Base Frequency | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2535
471.4 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2639
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6917
8.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
15273
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13001
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3269
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6049
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6132
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11676
90.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8030
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19029
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29744
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24426
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5106
188.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3854
142.3 IPS |
|
|
Text Classification (SP)
|
100% |
2713
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4782
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4977
6.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3591
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6740
116.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6791
117.3 IPS |
