iPad16,4
Geekbench AI Score
3273
Single Precision Score
18647
Half Precision Score
24410
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 10 2024 08:37 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1607
298.9 IPS |
|
|
Image Classification (HP)
|
100% |
8833
1.64 KIPS |
|
|
Image Classification (Q)
|
97% |
10422
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6842
110.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13935
225.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9712
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
107027
124.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
187450
219.7 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
11326
898.4 IPS |
|
|
Object Detection (Q)
|
93% |
14054
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
3023
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
15806
187.8 IPS |
|
|
Face Detection (Q)
|
100% |
19495
231.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5758
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
62424
480.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
89972
703.4 IPS |
|
|
Style Transfer (SP)
|
100% |
15013
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
158459
203.7 IPS |
|
|
Style Transfer (Q)
|
96% |
172397
222.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23238
858.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
34937
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
1857
2.48 KIPS |
|
|
Text Classification (HP)
|
71% |
6298
9.06 KIPS |
|
|
Text Classification (Q)
|
69% |
6236
9.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2220
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3033
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2980
51.5 IPS |
