iPad16,6
Geekbench AI Score
8936
Single Precision Score
10725
Half Precision Score
9643
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ksnyde |
| Upload Date | November 10 2024 10:40 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 15.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4553
846.7 IPS |
|
|
Image Classification (HP)
|
100% |
4902
911.5 IPS |
|
|
Image Classification (Q)
|
97% |
4221
787.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4903
79.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
6767
109.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7222
117.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
28272
33.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
30214
35.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
28770
33.7 IPS |
|
|
Object Detection (SP)
|
100% |
4766
378.1 IPS |
|
|
Object Detection (HP)
|
100% |
5254
416.7 IPS |
|
|
Object Detection (Q)
|
91% |
4484
358.3 IPS |
|
|
Face Detection (SP)
|
100% |
12782
151.9 IPS |
|
|
Face Detection (HP)
|
100% |
16382
194.7 IPS |
|
|
Face Detection (Q)
|
100% |
12033
143.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20641
159.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22667
174.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
19668
153.7 IPS |
|
|
Style Transfer (SP)
|
100% |
57325
73.7 IPS |
|
|
Style Transfer (HP)
|
100% |
68334
87.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64267
82.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11858
437.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13366
493.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10460
386.2 IPS |
|
|
Text Classification (SP)
|
100% |
3023
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
5389
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5291
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1992
34.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2101
36.3 IPS |
