iPad16,3
Geekbench AI Score
3243
Single Precision Score
18877
Half Precision Score
21808
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 11 2024 08:41 PM |
| Views | 29 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1600
297.6 IPS |
|
|
Image Classification (HP)
|
100% |
8958
1.67 KIPS |
|
|
Image Classification (Q)
|
99% |
9499
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
929
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
6845
111.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
6839
110.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9618
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
107299
125.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
180885
212.2 IPS |
|
|
Object Detection (SP)
|
100% |
1843
146.2 IPS |
|
|
Object Detection (HP)
|
100% |
11422
906.0 IPS |
|
|
Object Detection (Q)
|
93% |
14175
1.13 KIPS |
|
|
Face Detection (SP)
|
100% |
2935
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
15880
188.7 IPS |
|
|
Face Detection (Q)
|
100% |
19388
230.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5689
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
61915
477.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
68454
529.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14861
19.1 IPS |
|
|
Style Transfer (HP)
|
100% |
160637
206.5 IPS |
|
|
Style Transfer (Q)
|
100% |
160328
206.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4750
175.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23148
854.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
33249
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
1860
2.48 KIPS |
|
|
Text Classification (HP)
|
71% |
6963
10.0 KIPS |
|
|
Text Classification (Q)
|
69% |
6920
10.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
2228
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3004
51.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2984
51.6 IPS |
