iPad13,18
Geekbench AI Score
2512
Single Precision Score
2904
Half Precision Score
2545
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1091
202.9 IPS |
|
|
Image Classification (HP)
|
100% |
1119
208.2 IPS |
|
|
Image Classification (Q)
|
97% |
941
175.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1620
26.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1623
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6128
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8537
9.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
7670
8.99 IPS |
|
|
Object Detection (SP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (HP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (Q)
|
91% |
1055
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
4006
47.6 IPS |
|
|
Face Detection (Q)
|
100% |
2830
33.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5046
38.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5661
43.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
4619
36.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13228
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13673
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12781
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2841
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2951
109.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2471
91.2 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3526
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (Q)
|
98% |
635
11.0 IPS |
