iPad15,7
Geekbench AI Score
2922
Single Precision Score
3339
Half Precision Score
3059
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:35 PM |
| Views | 1 |
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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
532
99.0 IPS |
|
|
Image Classification (HP)
|
100% |
930
172.9 IPS |
|
|
Image Classification (Q)
|
96% |
873
163.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2298
37.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2175
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9474
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10043
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9726
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1090
86.4 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.2 IPS |
|
|
Object Detection (Q)
|
92% |
889
71.0 IPS |
|
|
Face Detection (SP)
|
100% |
4734
56.2 IPS |
|
|
Face Detection (HP)
|
100% |
4913
58.4 IPS |
|
|
Face Detection (Q)
|
100% |
4099
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7000
53.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6487
50.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6546
51.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17643
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19471
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18562
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2903
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2893
106.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2525
93.2 IPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4884
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4854
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
718
12.4 IPS |
