iPad16,2
Geekbench AI Score
4134
Single Precision Score
24792
Half Precision Score
33430
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JESSAYE |
| Upload Date | November 09 2024 12:46 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1739
323.3 IPS |
|
|
Image Classification (HP)
|
100% |
10973
2.04 KIPS |
|
|
Image Classification (Q)
|
97% |
15050
2.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
15804
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21250
344.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8486
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
107347
125.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
204458
239.6 IPS |
|
|
Object Detection (SP)
|
100% |
1853
147.0 IPS |
|
|
Object Detection (HP)
|
100% |
13651
1.08 KIPS |
|
|
Object Detection (Q)
|
91% |
18567
1.48 KIPS |
|
|
Face Detection (SP)
|
100% |
3365
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
34329
407.9 IPS |
|
|
Face Detection (Q)
|
100% |
49891
592.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7185
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
78705
606.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
128050
1.00 KIPS |
|
|
Style Transfer (SP)
|
100% |
21961
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
205216
263.8 IPS |
|
|
Style Transfer (Q)
|
96% |
252224
325.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5211
192.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
35997
1.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
59693
2.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2520
3.36 KIPS |
|
|
Text Classification (Q)
|
93% |
2075
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6865
118.3 IPS |
|
|
Machine Translation (Q)
|
98% |
7195
124.3 IPS |
