iPad16,3
Geekbench AI Score
4712
Single Precision Score
36430
Half Precision Score
52089
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Ncard00 |
| Upload Date | October 17 2024 01:36 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| Model | iPad16,3 |
| Model ID | iPad16,3 |
| Motherboard | J717AP |
| 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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (HP)
|
100% |
17109
3.18 KIPS |
|
|
Image Classification (Q)
|
97% |
24396
4.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22064
357.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
30512
494.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10091
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123694
144.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
233282
273.4 IPS |
|
|
Object Detection (SP)
|
100% |
2218
175.9 IPS |
|
|
Object Detection (HP)
|
100% |
18363
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25718
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
43230
513.7 IPS |
|
|
Face Detection (Q)
|
100% |
62554
743.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8311
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98269
757.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168748
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25102
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232645
299.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297593
384.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49097
1.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83631
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
2980
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
6002
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
6921
9.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3909
67.3 IPS |
|
|
Machine Translation (HP)
|
100% |
16488
284.0 IPS |
|
|
Machine Translation (Q)
|
98% |
18110
313.0 IPS |
