iPad16,1
Geekbench AI Score
3904
Single Precision Score
24755
Half Precision Score
33877
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | balazskake |
| Upload Date | February 03 2025 04:52 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.72 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% |
10597
1.97 KIPS |
|
|
Image Classification (Q)
|
97% |
14970
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15879
257.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
21021
340.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7402
8.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
102656
119.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
204979
240.2 IPS |
|
|
Object Detection (SP)
|
100% |
1776
140.9 IPS |
|
|
Object Detection (HP)
|
100% |
13854
1.10 KIPS |
|
|
Object Detection (Q)
|
91% |
18529
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3297
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
34440
409.2 IPS |
|
|
Face Detection (Q)
|
100% |
51465
611.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6744
52.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
78142
602.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
127324
995.5 IPS |
|
|
Style Transfer (SP)
|
100% |
19791
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
205377
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
253085
326.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4728
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33815
1.25 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
60683
2.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3123
4.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2322
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3317
57.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6188
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7130
123.2 IPS |
