iPad15,7
Geekbench AI Score
3092
Single Precision Score
3298
Half Precision Score
2891
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 10:47 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 | 3.44 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1001
186.1 IPS |
|
|
Image Classification (HP)
|
100% |
842
156.5 IPS |
|
|
Image Classification (Q)
|
96% |
572
106.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2306
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2330
37.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2238
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9579
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
10128
11.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
9764
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1149
91.2 IPS |
|
|
Object Detection (HP)
|
100% |
1103
87.5 IPS |
|
|
Object Detection (Q)
|
92% |
901
71.9 IPS |
|
|
Face Detection (SP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
4871
57.9 IPS |
|
|
Face Detection (Q)
|
100% |
3368
40.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6555
50.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6338
48.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6375
49.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17388
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19124
24.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18544
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2865
105.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2914
107.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2609
96.3 IPS |
|
|
Text Classification (SP)
|
100% |
2728
3.64 KIPS |
|
|
Text Classification (HP)
|
100% |
4825
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4829
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
839
14.5 IPS |
|
|
Machine Translation (Q)
|
98% |
724
12.5 IPS |
