iPad15,7
Geekbench AI Score
3595
Single Precision Score
6206
Half Precision Score
5059
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 03:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1443
268.4 IPS |
|
|
Image Classification (HP)
|
100% |
2559
475.9 IPS |
|
|
Image Classification (Q)
|
96% |
1771
330.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1445
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2095
34.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2631
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6978
8.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
15235
17.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13059
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.9 IPS |
|
|
Object Detection (HP)
|
97% |
2915
232.1 IPS |
|
|
Object Detection (Q)
|
94% |
2069
164.9 IPS |
|
|
Face Detection (SP)
|
100% |
3267
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6071
72.1 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6218
47.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
11614
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8021
62.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18863
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29752
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24502
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4119
152.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5143
189.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3902
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
2715
3.62 KIPS |
|
|
Text Classification (HP)
|
100% |
4908
6.55 KIPS |
|
|
Text Classification (Q)
|
93% |
4862
6.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3625
62.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6727
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6723
116.2 IPS |
