iPad16,6
Geekbench AI Score
8903
Single Precision Score
10645
Half Precision Score
7831
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Swissnightlover |
| Upload Date | August 19 2024 09:04 PM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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 | 7.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4482
833.5 IPS |
|
|
Image Classification (HP)
|
100% |
4834
899.0 IPS |
|
|
Image Classification (Q)
|
99% |
4497
838.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4968
80.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6745
109.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
6700
108.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
28159
32.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
30002
35.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
27621
32.3 IPS |
|
|
Object Detection (SP)
|
100% |
4790
380.0 IPS |
|
|
Object Detection (HP)
|
100% |
5213
413.5 IPS |
|
|
Object Detection (Q)
|
91% |
4153
331.8 IPS |
|
|
Face Detection (SP)
|
100% |
12923
153.6 IPS |
|
|
Face Detection (HP)
|
100% |
16403
194.9 IPS |
|
|
Face Detection (Q)
|
100% |
11708
139.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
20466
157.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
22361
172.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
3453
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
56886
73.1 IPS |
|
|
Style Transfer (HP)
|
100% |
68014
87.4 IPS |
|
|
Style Transfer (Q)
|
100% |
67513
86.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11703
432.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12725
469.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9651
357.6 IPS |
|
|
Text Classification (SP)
|
100% |
2973
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
5630
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5610
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1991
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1699
29.4 IPS |
