iPad16,1
Geekbench AI Score
3924
Single Precision Score
6899
Half Precision Score
5634
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | cellphonehater |
| Upload Date | April 25 2025 10:11 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% |
1728
321.4 IPS |
|
|
Image Classification (HP)
|
100% |
2956
549.7 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1624
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2380
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3051
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7688
8.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
15466
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13568
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1756
139.3 IPS |
|
|
Object Detection (HP)
|
97% |
3343
266.1 IPS |
|
|
Object Detection (Q)
|
94% |
2359
188.0 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
6921
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3842
45.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6645
51.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12956
100.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8967
70.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20644
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32680
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27201
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4662
172.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5653
208.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4247
156.8 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5641
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5606
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3419
58.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7191
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7294
126.0 IPS |
