iPad16,6
Geekbench AI Score
8984
Single Precision Score
10658
Half Precision Score
9108
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 07:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,6 |
| Model ID | iPad16,6 |
| Motherboard | J721AP |
| 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% |
4482
833.5 IPS |
|
|
Image Classification (HP)
|
100% |
4830
898.2 IPS |
|
|
Image Classification (Q)
|
97% |
3646
680.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4795
77.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
6631
107.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7039
114.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28110
32.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30028
35.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
27925
32.7 IPS |
|
|
Object Detection (SP)
|
100% |
4795
380.3 IPS |
|
|
Object Detection (HP)
|
100% |
5212
413.5 IPS |
|
|
Object Detection (Q)
|
91% |
4121
329.3 IPS |
|
|
Face Detection (SP)
|
100% |
12643
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
16228
192.8 IPS |
|
|
Face Detection (Q)
|
100% |
11636
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
20273
156.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
22343
172.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
17890
139.8 IPS |
|
|
Style Transfer (SP)
|
100% |
56904
73.2 IPS |
|
|
Style Transfer (HP)
|
100% |
67627
86.9 IPS |
|
|
Style Transfer (Q)
|
96% |
63394
81.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11944
441.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12702
469.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10052
371.2 IPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6050
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6030
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1949
33.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2003
34.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1663
28.7 IPS |
