iPad15,7
Geekbench AI Score
3589
Single Precision Score
6226
Half Precision Score
5067
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 06:12 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1436
267.0 IPS |
|
|
Image Classification (HP)
|
100% |
2571
478.1 IPS |
|
|
Image Classification (Q)
|
96% |
1755
327.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2643
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7094
8.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
15597
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13229
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
97% |
2930
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2078
165.7 IPS |
|
|
Face Detection (SP)
|
100% |
3201
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6060
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3497
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5967
46.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11618
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8035
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19252
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29763
38.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24521
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4133
152.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5119
189.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3864
142.7 IPS |
|
|
Text Classification (SP)
|
100% |
2695
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4843
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4856
6.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3660
63.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6773
117.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6774
117.1 IPS |
