iPad16,1
Geekbench AI Score
3847
Single Precision Score
6838
Half Precision Score
5560
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | March 31 2025 03:54 PM |
| Views | 21 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1723
320.4 IPS |
|
|
Image Classification (HP)
|
100% |
2979
553.9 IPS |
|
|
Image Classification (Q)
|
96% |
2034
379.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1600
25.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2381
38.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3016
48.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7373
8.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
14852
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
13014
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3246
258.4 IPS |
|
|
Object Detection (Q)
|
94% |
2325
185.3 IPS |
|
|
Face Detection (SP)
|
100% |
3150
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6740
80.1 IPS |
|
|
Face Detection (Q)
|
100% |
3761
44.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6527
50.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12806
99.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8717
68.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19848
25.5 IPS |
|
|
Style Transfer (HP)
|
100% |
32611
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
26372
34.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4494
165.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4320
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5696
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5676
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3414
58.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7188
124.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7179
124.1 IPS |
