iPad16,1
Geekbench AI Score
1989
Single Precision Score
3118
Half Precision Score
2519
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | April 25 2025 10:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
322.0 IPS |
|
|
Image Classification (HP)
|
100% |
1235
229.7 IPS |
|
|
Image Classification (Q)
|
96% |
840
156.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1303
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3795
4.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
7343
8.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
6501
7.62 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
97% |
1481
117.9 IPS |
|
|
Object Detection (Q)
|
94% |
1044
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
1637
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (Q)
|
100% |
1712
20.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3062
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5658
43.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
3998
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9638
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
14769
19.0 IPS |
|
|
Style Transfer (Q)
|
96% |
12216
15.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2263
83.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2573
95.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1893
69.9 IPS |
|
|
Text Classification (SP)
|
100% |
1412
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
2504
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2497
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1520
26.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3527
60.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3508
60.6 IPS |
