iPad15,7
Geekbench AI Score
3575
Single Precision Score
6222
Half Precision Score
5036
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 10:44 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1440
267.8 IPS |
|
|
Image Classification (HP)
|
100% |
2560
476.1 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1449
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2635
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6871
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15482
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13024
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1577
125.1 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2075
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3226
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6042
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3459
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6165
47.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11672
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8039
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18799
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29780
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24504
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4156
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5182
191.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3874
143.0 IPS |
|
|
Text Classification (SP)
|
100% |
2692
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4840
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3615
62.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6773
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6697
115.7 IPS |
