iPad16,1
Geekbench AI Score
4466
Single Precision Score
4914
Half Precision Score
4575
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | April 25 2025 10:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1310
243.5 IPS |
|
|
Image Classification (HP)
|
100% |
1374
255.4 IPS |
|
|
Image Classification (Q)
|
96% |
1118
208.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3526
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3811
61.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3659
59.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
12400
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12875
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12509
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2227
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
1531
121.4 IPS |
|
|
Object Detection (Q)
|
92% |
1501
119.8 IPS |
|
|
Face Detection (SP)
|
100% |
5669
67.4 IPS |
|
|
Face Detection (HP)
|
100% |
8329
99.0 IPS |
|
|
Face Detection (Q)
|
100% |
5838
69.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10190
78.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
11054
85.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
10012
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26275
33.8 IPS |
|
|
Style Transfer (HP)
|
100% |
30428
39.1 IPS |
|
|
Style Transfer (Q)
|
96% |
28713
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3883
143.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4076
150.5 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5651
7.54 KIPS |
|
|
Text Classification (Q)
|
93% |
5622
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1231
21.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1362
23.5 IPS |
