iPad14,4
Geekbench AI Score
3449
Single Precision Score
20838
Half Precision Score
22772
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | cheltenham |
| Upload Date | August 17 2024 07:25 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1379
256.5 IPS |
|
|
Image Classification (HP)
|
100% |
14257
2.65 KIPS |
|
|
Image Classification (Q)
|
99% |
14919
2.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1525
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9014
146.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
9012
146.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6870
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
99696
116.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
100354
117.7 IPS |
|
|
Object Detection (SP)
|
100% |
1557
123.5 IPS |
|
|
Object Detection (HP)
|
99% |
14547
1.16 KIPS |
|
|
Object Detection (Q)
|
91% |
16745
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
21825
259.3 IPS |
|
|
Face Detection (Q)
|
100% |
33629
399.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5659
43.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
73474
566.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
81489
630.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18846
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
155501
199.9 IPS |
|
|
Style Transfer (Q)
|
100% |
155369
199.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4045
149.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
38412
1.42 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
45180
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
2218
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
3632
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3598
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3550
61.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2381
41.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2398
41.4 IPS |
