iPad16,6
Geekbench AI Score
4659
Single Precision Score
35384
Half Precision Score
50160
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 06:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1919
356.9 IPS |
|
|
Image Classification (HP)
|
100% |
17571
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
27224
5.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16499
267.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20747
336.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9993
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123464
144.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
232095
272.0 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
18590
1.47 KIPS |
|
|
Object Detection (Q)
|
91% |
26398
2.11 KIPS |
|
|
Face Detection (SP)
|
100% |
3964
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
41061
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
60160
714.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8291
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
99568
767.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171120
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25011
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
234704
301.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298780
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5836
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49348
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85307
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2947
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
6017
8.03 KIPS |
|
|
Text Classification (Q)
|
93% |
6193
8.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (HP)
|
100% |
16233
279.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17933
309.9 IPS |
