iPad16,1
Geekbench AI Score
3903
Single Precision Score
6808
Half Precision Score
5511
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | balazskake |
| Upload Date | February 03 2025 04:54 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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 | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1728
321.3 IPS |
|
|
Image Classification (HP)
|
100% |
2905
540.2 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3097
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7461
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
15123
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13236
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1752
138.9 IPS |
|
|
Object Detection (HP)
|
97% |
3314
263.8 IPS |
|
|
Object Detection (Q)
|
94% |
2323
185.1 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
6890
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
3831
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6708
51.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13348
103.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9062
70.8 IPS |
|
|
Style Transfer (SP)
|
100% |
20145
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31507
40.5 IPS |
|
|
Style Transfer (Q)
|
96% |
26557
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4696
173.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5761
212.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4311
159.2 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5563
7.42 KIPS |
|
|
Text Classification (Q)
|
93% |
5450
7.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3316
57.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6359
109.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6212
107.4 IPS |
