iPad15,7
Geekbench AI Score
2927
Single Precision Score
3258
Half Precision Score
2987
Quantized Score
Geekbench AI 1.3.0-Beta2 for iOS AArch64
Result Information
| Upload Date | April 10 2025 03:37 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% |
651
121.1 IPS |
|
|
Image Classification (HP)
|
100% |
923
171.7 IPS |
|
|
Image Classification (Q)
|
96% |
747
139.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2294
37.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2253
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9386
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10048
11.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
9619
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
969
76.8 IPS |
|
|
Object Detection (HP)
|
100% |
942
74.7 IPS |
|
|
Object Detection (Q)
|
92% |
740
59.1 IPS |
|
|
Face Detection (SP)
|
100% |
4880
58.0 IPS |
|
|
Face Detection (HP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (Q)
|
100% |
4265
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7152
55.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7409
57.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6793
53.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17526
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19176
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18374
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2561
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2552
94.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2514
92.8 IPS |
|
|
Text Classification (SP)
|
100% |
2716
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4893
6.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4881
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
784
13.5 IPS |
|
|
Machine Translation (HP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (Q)
|
98% |
723
12.5 IPS |
