iPad15,7
Geekbench AI Score
3560
Single Precision Score
6207
Half Precision Score
5043
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:31 PM |
| Views | 1 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
263.0 IPS |
|
|
Image Classification (HP)
|
100% |
2550
474.3 IPS |
|
|
Image Classification (Q)
|
96% |
1756
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1453
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2633
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6829
7.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15135
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12910
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2924
232.8 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3470
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6088
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11630
89.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8006
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18680
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29729
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24427
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3877
143.1 IPS |
|
|
Text Classification (SP)
|
100% |
2723
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4945
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4842
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3597
62.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6769
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6781
117.2 IPS |
