iPad14,4
Geekbench AI Score
2348
Single Precision Score
12119
Half Precision Score
13469
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | stanleyruppert |
| Upload Date | September 11 2024 02:29 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
7110
1.32 KIPS |
|
|
Image Classification (Q)
|
96% |
7385
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
747
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4985
80.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8061
130.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5992
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
86598
101.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
89019
104.3 IPS |
|
|
Object Detection (SP)
|
100% |
1357
107.7 IPS |
|
|
Object Detection (HP)
|
99% |
8328
662.5 IPS |
|
|
Object Detection (Q)
|
93% |
8672
691.9 IPS |
|
|
Face Detection (SP)
|
100% |
2448
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
11289
134.1 IPS |
|
|
Face Detection (Q)
|
100% |
13103
155.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4136
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
48233
371.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
57395
448.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11063
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
137598
176.9 IPS |
|
|
Style Transfer (Q)
|
95% |
125991
162.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3142
116.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18939
699.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
24236
894.9 IPS |
|
|
Text Classification (SP)
|
100% |
1187
1.58 KIPS |
|
|
Text Classification (HP)
|
100% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
93% |
795
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1606
27.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2363
40.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2343
40.5 IPS |
