iPad16,6
Geekbench AI Score
4449
Single Precision Score
6381
Half Precision Score
5281
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | buhamad78 |
| Upload Date | August 17 2024 05:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.05 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1940
360.7 IPS |
|
|
Image Classification (HP)
|
100% |
2599
483.3 IPS |
|
|
Image Classification (Q)
|
99% |
2602
485.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1833
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1788
29.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9856
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18729
21.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
16027
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2085
165.3 IPS |
|
|
Object Detection (HP)
|
97% |
3042
242.2 IPS |
|
|
Object Detection (Q)
|
94% |
2296
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3585
42.6 IPS |
|
|
Face Detection (HP)
|
100% |
5854
69.6 IPS |
|
|
Face Detection (Q)
|
100% |
3772
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7626
58.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11281
87.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
5816
45.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24075
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
35708
45.9 IPS |
|
|
Style Transfer (Q)
|
100% |
35590
45.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5800
214.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6751
249.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4781
177.1 IPS |
|
|
Text Classification (SP)
|
100% |
3047
4.07 KIPS |
|
|
Text Classification (HP)
|
100% |
5129
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5095
6.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3577
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5206
89.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5189
89.7 IPS |
