iPad16,5
Geekbench AI Score
4689
Single Precision Score
35115
Half Precision Score
47925
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | DragonLand |
| Upload Date | September 12 2024 01:18 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,5 |
| Model ID | iPad16,5 |
| Motherboard | J720AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.07 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1997
371.4 IPS |
|
|
Image Classification (HP)
|
100% |
17002
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
24185
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16469
267.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20667
335.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10034
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123311
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
234052
274.3 IPS |
|
|
Object Detection (SP)
|
100% |
2213
175.5 IPS |
|
|
Object Detection (HP)
|
100% |
19081
1.51 KIPS |
|
|
Object Detection (Q)
|
91% |
26846
2.15 KIPS |
|
|
Face Detection (SP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41954
498.5 IPS |
|
|
Face Detection (Q)
|
100% |
61501
730.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8279
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98752
760.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
173667
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
25087
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
169970
218.5 IPS |
|
|
Style Transfer (Q)
|
96% |
203796
263.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5833
215.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49512
1.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88268
3.26 KIPS |
|
|
Text Classification (SP)
|
100% |
2962
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
7656
10.2 KIPS |
|
|
Text Classification (Q)
|
93% |
5946
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
16213
279.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17815
307.9 IPS |
