iPad16,3
Geekbench AI Score
4699
Single Precision Score
34190
Half Precision Score
46925
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | DmytroVlasenko |
| Upload Date | September 12 2024 04:25 AM |
| Views | 13 |
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, 10 Cores |
| Identifier | ARM |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 15.15 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1998
371.5 IPS |
|
|
Image Classification (HP)
|
100% |
17477
3.25 KIPS |
|
|
Image Classification (Q)
|
97% |
23847
4.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16494
267.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20680
335.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10054
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
123421
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
231910
271.8 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
100% |
17978
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25208
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
3948
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
41932
498.2 IPS |
|
|
Face Detection (Q)
|
100% |
60245
715.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8287
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99640
767.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166013
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
25155
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
170233
218.8 IPS |
|
|
Style Transfer (Q)
|
96% |
202336
261.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50550
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85340
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
2969
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5804
7.75 KIPS |
|
|
Text Classification (Q)
|
93% |
5837
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3874
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16354
281.7 IPS |
|
|
Machine Translation (Q)
|
98% |
17814
307.8 IPS |
