iPad16,4
Geekbench AI Score
3313
Single Precision Score
15616
Half Precision Score
18735
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | dank1 |
| Upload Date | August 16 2024 12:35 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.4 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| 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% |
1629
303.0 IPS |
|
|
Image Classification (HP)
|
100% |
6930
1.29 KIPS |
|
|
Image Classification (Q)
|
99% |
8441
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
970
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6012
97.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
6077
98.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9759
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
91375
106.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
164113
192.5 IPS |
|
|
Object Detection (SP)
|
100% |
1874
148.6 IPS |
|
|
Object Detection (HP)
|
100% |
7579
601.2 IPS |
|
|
Object Detection (Q)
|
93% |
11078
883.9 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
14270
169.6 IPS |
|
|
Face Detection (Q)
|
100% |
17573
208.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5861
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
42733
329.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
45685
353.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15560
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
103314
132.8 IPS |
|
|
Style Transfer (Q)
|
100% |
106159
136.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4851
179.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22357
825.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
33633
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
1783
2.38 KIPS |
|
|
Text Classification (HP)
|
71% |
6644
9.55 KIPS |
|
|
Text Classification (Q)
|
69% |
6530
9.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2289
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3194
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3053
52.8 IPS |
