iPad16,1
Geekbench AI Score
3981
Single Precision Score
25293
Half Precision Score
35654
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 23 2025 09:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1737
323.0 IPS |
|
|
Image Classification (HP)
|
100% |
10775
2.00 KIPS |
|
|
Image Classification (Q)
|
97% |
15509
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1626
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
16347
265.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
21565
349.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7623
8.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
106998
124.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
205986
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
1809
143.5 IPS |
|
|
Object Detection (HP)
|
100% |
13824
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18877
1.51 KIPS |
|
|
Face Detection (SP)
|
100% |
3308
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
34294
407.5 IPS |
|
|
Face Detection (Q)
|
100% |
52712
626.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6896
53.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
78794
607.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
124714
975.1 IPS |
|
|
Style Transfer (SP)
|
100% |
20698
26.6 IPS |
|
|
Style Transfer (HP)
|
100% |
207234
266.4 IPS |
|
|
Style Transfer (Q)
|
96% |
255974
330.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4835
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34051
1.26 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
54093
2.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3240
4.32 KIPS |
|
|
Text Classification (HP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3743
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3478
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
6646
114.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7493
129.5 IPS |
