iPad15,7
Geekbench AI Score
3568
Single Precision Score
6082
Half Precision Score
4944
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | frank_m_h_jaeger |
| Upload Date | March 13 2025 07:16 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1409
262.0 IPS |
|
|
Image Classification (HP)
|
100% |
2519
468.4 IPS |
|
|
Image Classification (Q)
|
96% |
1741
325.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1462
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2680
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7057
8.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
15085
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12886
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1596
126.6 IPS |
|
|
Object Detection (HP)
|
97% |
2930
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2060
164.2 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6153
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
3518
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6215
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12254
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8284
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19027
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28421
36.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23802
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4178
154.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3642
134.5 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4707
6.28 KIPS |
|
|
Text Classification (Q)
|
93% |
4676
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5937
102.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5974
103.2 IPS |
