iPad16,3
Geekbench AI Score
4733
Single Precision Score
31908
Half Precision Score
40669
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| Upload Date | August 15 2024 07:37 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2005
372.8 IPS |
|
|
Image Classification (HP)
|
100% |
17081
3.18 KIPS |
|
|
Image Classification (Q)
|
99% |
18993
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14037
227.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
14122
228.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10061
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118935
138.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
226110
265.2 IPS |
|
|
Object Detection (SP)
|
100% |
2223
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
17651
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
26801
2.14 KIPS |
|
|
Face Detection (SP)
|
100% |
3988
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
27078
321.7 IPS |
|
|
Face Detection (Q)
|
100% |
47023
558.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
83377
642.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
93925
726.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25128
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
169470
217.9 IPS |
|
|
Style Transfer (Q)
|
100% |
169686
218.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5874
216.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51568
1.90 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
86433
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3074
4.10 KIPS |
|
|
Text Classification (HP)
|
100% |
6694
8.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6488
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16456
283.5 IPS |
|
|
Machine Translation (Q)
|
98% |
18122
313.2 IPS |
