iPad15,7
Geekbench AI Score
2800
Single Precision Score
3213
Half Precision Score
3048
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:40 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% |
502
93.4 IPS |
|
|
Image Classification (HP)
|
100% |
813
151.2 IPS |
|
|
Image Classification (Q)
|
96% |
766
143.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2322
37.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2258
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9341
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10028
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9622
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1025
81.3 IPS |
|
|
Object Detection (HP)
|
100% |
900
71.4 IPS |
|
|
Object Detection (Q)
|
92% |
766
61.1 IPS |
|
|
Face Detection (SP)
|
100% |
3689
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
4946
58.8 IPS |
|
|
Face Detection (Q)
|
100% |
4284
50.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7102
54.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
7482
57.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6802
53.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17427
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19167
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18437
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2672
98.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2753
101.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2475
91.4 IPS |
|
|
Text Classification (SP)
|
100% |
2725
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4871
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
4840
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
788
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (Q)
|
98% |
844
14.6 IPS |
