iPad15,7
Geekbench AI Score
2715
Single Precision Score
2724
Half Precision Score
2548
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | sunjw8888 |
| Upload Date | March 25 2025 03:37 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
990
184.2 IPS |
|
|
Image Classification (HP)
|
100% |
606
112.8 IPS |
|
|
Image Classification (Q)
|
97% |
721
134.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1920
31.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9522
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10044
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9335
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1096
86.9 IPS |
|
|
Object Detection (HP)
|
100% |
969
76.9 IPS |
|
|
Object Detection (Q)
|
91% |
755
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
3517
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
3617
43.0 IPS |
|
|
Face Detection (Q)
|
100% |
3358
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6811
52.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
6504
50.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
5818
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17628
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
19445
25.0 IPS |
|
|
Style Transfer (Q)
|
96% |
17986
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2661
98.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2286
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
2625
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4667
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4810
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
353
6.08 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (Q)
|
98% |
307
5.30 IPS |
