iPad16,4
Geekbench AI Score
4702
Single Precision Score
7773
Half Precision Score
6759
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | August 16 2024 06:41 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,4 |
| Model ID | iPad16,4 |
| Motherboard | J718AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1993
370.7 IPS |
|
|
Image Classification (HP)
|
100% |
3403
632.9 IPS |
|
|
Image Classification (Q)
|
99% |
3391
632.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3189
51.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
3219
52.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10063
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19073
22.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
16301
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2215
175.7 IPS |
|
|
Object Detection (HP)
|
97% |
3801
302.6 IPS |
|
|
Object Detection (Q)
|
94% |
2697
215.0 IPS |
|
|
Face Detection (SP)
|
100% |
3963
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
7717
91.7 IPS |
|
|
Face Detection (Q)
|
100% |
4449
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8269
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14597
112.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
14735
114.0 IPS |
|
|
Style Transfer (SP)
|
100% |
25213
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38085
49.0 IPS |
|
|
Style Transfer (Q)
|
100% |
38196
49.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5867
216.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6850
252.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4795
177.6 IPS |
|
|
Text Classification (SP)
|
100% |
2989
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
5101
6.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5053
6.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3899
67.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6829
118.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6838
118.2 IPS |
