iPad15,7
Geekbench AI Score
3607
Single Precision Score
6219
Half Precision Score
5062
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 19 2025 01:10 PM |
| 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 | 3.45 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 3 Cores |
| Memory Information | |
|---|---|
| Size | 5.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
2543
472.9 IPS |
|
|
Image Classification (Q)
|
96% |
1756
327.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1460
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2637
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7038
8.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
15552
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13343
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
1618
128.3 IPS |
|
|
Object Detection (HP)
|
97% |
2928
233.1 IPS |
|
|
Object Detection (Q)
|
94% |
2070
165.0 IPS |
|
|
Face Detection (SP)
|
100% |
3278
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6060
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3488
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6235
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11768
91.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8012
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19132
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29885
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24557
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4174
154.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5140
189.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3901
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2693
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4763
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4730
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3700
63.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6828
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6834
118.1 IPS |
