iPad16,5
Geekbench AI Score
4700
Single Precision Score
31868
Half Precision Score
39771
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | August 24 2024 05:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
16767
3.12 KIPS |
|
|
Image Classification (Q)
|
99% |
18706
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14006
227.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
14040
227.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10051
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
118981
138.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
224603
263.4 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
16936
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
25290
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
26899
319.6 IPS |
|
|
Face Detection (Q)
|
100% |
45762
543.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8284
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
82841
638.2 IPS |
|
|
Depth Estimation (Q)
|
97% |
91832
710.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24983
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
168534
216.7 IPS |
|
|
Style Transfer (Q)
|
100% |
168300
216.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5840
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50007
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
85455
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
2999
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
7393
9.87 KIPS |
|
|
Text Classification (Q)
|
93% |
6088
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3893
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16444
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
18038
311.7 IPS |
