iPad16,5
Geekbench AI Score
4706
Single Precision Score
36272
Half Precision Score
50987
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | John_ApplePark |
| Upload Date | November 10 2024 04:07 PM |
| Views | 17 |
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, 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% |
1981
368.5 IPS |
|
|
Image Classification (HP)
|
100% |
17273
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
24211
4.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2148
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
22055
357.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
30544
495.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10062
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123828
144.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
233934
274.2 IPS |
|
|
Object Detection (SP)
|
100% |
2220
176.1 IPS |
|
|
Object Detection (HP)
|
100% |
18237
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25751
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
3984
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
43374
515.4 IPS |
|
|
Face Detection (Q)
|
100% |
62756
745.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8303
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98480
758.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
168237
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25072
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
230938
296.9 IPS |
|
|
Style Transfer (Q)
|
96% |
297380
383.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5842
215.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48509
1.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83112
3.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2945
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
5825
7.77 KIPS |
|
|
Text Classification (Q)
|
93% |
5709
7.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3936
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16441
283.2 IPS |
|
|
Machine Translation (Q)
|
98% |
17894
309.2 IPS |
