iPad16,3
Geekbench AI Score
4716
Single Precision Score
35808
Half Precision Score
49555
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 09 2024 03:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1997
371.3 IPS |
|
|
Image Classification (HP)
|
100% |
17220
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
23603
4.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2175
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16448
266.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20664
335.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10077
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
122892
143.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
229725
269.3 IPS |
|
|
Object Detection (SP)
|
100% |
2238
177.5 IPS |
|
|
Object Detection (HP)
|
100% |
18385
1.46 KIPS |
|
|
Object Detection (Q)
|
91% |
25626
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4061
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
42915
509.9 IPS |
|
|
Face Detection (Q)
|
100% |
63259
751.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8303
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
98941
762.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171633
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25145
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
232988
299.5 IPS |
|
|
Style Transfer (Q)
|
96% |
293406
378.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5847
215.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50790
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89130
3.29 KIPS |
|
|
Text Classification (SP)
|
100% |
2960
3.95 KIPS |
|
|
Text Classification (HP)
|
100% |
6858
9.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6327
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3790
65.3 IPS |
|
|
Machine Translation (HP)
|
100% |
15721
270.8 IPS |
|
|
Machine Translation (Q)
|
98% |
17315
299.2 IPS |
