iPad15,7
Geekbench AI Score
3047
Single Precision Score
3161
Half Precision Score
2916
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 04:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1005
187.0 IPS |
|
|
Image Classification (HP)
|
100% |
931
173.1 IPS |
|
|
Image Classification (Q)
|
96% |
563
105.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2315
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2213
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9677
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
10082
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
9751
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1135
90.0 IPS |
|
|
Object Detection (HP)
|
100% |
1071
84.9 IPS |
|
|
Object Detection (Q)
|
92% |
846
67.5 IPS |
|
|
Face Detection (SP)
|
100% |
3704
44.0 IPS |
|
|
Face Detection (HP)
|
100% |
3686
43.8 IPS |
|
|
Face Detection (Q)
|
100% |
4036
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6697
51.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6374
49.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6457
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17682
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19182
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18625
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2930
108.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2769
102.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2611
96.4 IPS |
|
|
Text Classification (SP)
|
100% |
2691
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4817
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
720
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
719
12.4 IPS |
