iPad16,5
Geekbench AI Score
4408
Single Precision Score
6296
Half Precision Score
5199
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | darios |
| Upload Date | August 15 2024 07:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 7.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1902
353.8 IPS |
|
|
Image Classification (HP)
|
100% |
2545
473.3 IPS |
|
|
Image Classification (Q)
|
99% |
2565
478.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1772
28.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
1726
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9803
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18732
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
15978
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2070
164.2 IPS |
|
|
Object Detection (HP)
|
97% |
3020
240.4 IPS |
|
|
Object Detection (Q)
|
94% |
2258
179.9 IPS |
|
|
Face Detection (SP)
|
100% |
3548
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5700
67.7 IPS |
|
|
Face Detection (Q)
|
100% |
3656
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7582
58.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
11172
86.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
5712
44.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23895
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
35072
45.1 IPS |
|
|
Style Transfer (Q)
|
100% |
35148
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5756
212.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6811
251.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4796
177.7 IPS |
|
|
Text Classification (SP)
|
100% |
3079
4.11 KIPS |
|
|
Text Classification (HP)
|
100% |
5058
6.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5029
6.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3558
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5117
88.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5107
88.3 IPS |
