iPad15,7
Geekbench AI Score
3422
Single Precision Score
5949
Half Precision Score
4818
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | March 26 2025 02:58 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.2 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2130
34.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2654
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6202
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
13617
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11429
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1507
119.5 IPS |
|
|
Object Detection (HP)
|
97% |
2887
229.8 IPS |
|
|
Object Detection (Q)
|
94% |
2032
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
3192
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
5994
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3353
39.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5805
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11884
91.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8076
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17314
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27465
35.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23176
29.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3818
141.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3627
133.9 IPS |
|
|
Text Classification (SP)
|
100% |
2626
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4674
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4692
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3490
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5892
101.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5887
101.7 IPS |
