iPad15,7
Geekbench AI Score
3555
Single Precision Score
22504
Half Precision Score
25583
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sunjw8888 |
| Upload Date | March 25 2025 03:29 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
9956
1.85 KIPS |
|
|
Image Classification (Q)
|
97% |
12900
2.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14684
238.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
17997
291.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6602
7.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
95332
111.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
101912
119.4 IPS |
|
|
Object Detection (SP)
|
100% |
1595
126.5 IPS |
|
|
Object Detection (HP)
|
100% |
12972
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
14928
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3265
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
30418
361.4 IPS |
|
|
Face Detection (Q)
|
100% |
39041
463.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6129
47.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
74371
573.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
96181
752.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18777
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
170708
219.4 IPS |
|
|
Style Transfer (Q)
|
96% |
173125
223.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4170
154.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32609
1.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37095
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
2674
3.57 KIPS |
|
|
Text Classification (HP)
|
100% |
2022
2.70 KIPS |
|
|
Text Classification (Q)
|
93% |
1745
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3461
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
7239
124.7 IPS |
|
|
Machine Translation (Q)
|
98% |
8083
139.7 IPS |
