iPad16,1
Geekbench AI Score
3969
Single Precision Score
6969
Half Precision Score
5703
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 07:30 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPad16,1 |
| Model ID | iPad16,1 |
| Motherboard | J410AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.72 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1729
321.6 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.3 IPS |
|
|
Image Classification (Q)
|
96% |
2036
380.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2389
38.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3071
49.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7731
9.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
15969
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13953
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
1771
140.4 IPS |
|
|
Object Detection (HP)
|
97% |
3335
265.5 IPS |
|
|
Object Detection (Q)
|
94% |
2376
189.3 IPS |
|
|
Face Detection (SP)
|
100% |
3283
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
6934
82.4 IPS |
|
|
Face Detection (Q)
|
100% |
3857
45.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6749
52.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12913
99.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8976
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
20860
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
33646
43.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27500
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4792
177.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5787
213.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4463
164.8 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5702
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5671
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3483
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7191
124.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7291
126.0 IPS |
