iPad16,3
Geekbench AI Score
3288
Single Precision Score
18771
Half Precision Score
21878
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | visualvictor |
| Upload Date | August 17 2024 09:40 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1658
308.4 IPS |
|
|
Image Classification (HP)
|
100% |
8846
1.65 KIPS |
|
|
Image Classification (Q)
|
99% |
9961
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
954
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6867
111.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6835
110.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9747
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
108045
126.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
182790
214.4 IPS |
|
|
Object Detection (SP)
|
100% |
1863
147.8 IPS |
|
|
Object Detection (HP)
|
100% |
11398
904.1 IPS |
|
|
Object Detection (Q)
|
93% |
13963
1.11 KIPS |
|
|
Face Detection (SP)
|
100% |
2913
34.6 IPS |
|
|
Face Detection (HP)
|
100% |
15124
179.7 IPS |
|
|
Face Detection (Q)
|
100% |
18486
219.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5718
44.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
62427
481.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
68553
530.1 IPS |
|
|
Style Transfer (SP)
|
100% |
14874
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
160098
205.8 IPS |
|
|
Style Transfer (Q)
|
100% |
160589
206.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23591
871.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
35034
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
1884
2.51 KIPS |
|
|
Text Classification (HP)
|
71% |
7000
10.1 KIPS |
|
|
Text Classification (Q)
|
69% |
6912
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2909
50.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2935
50.7 IPS |
