iPad13,18
Geekbench AI Score
2632
Single Precision Score
4451
Half Precision Score
3733
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1192
221.6 IPS |
|
|
Image Classification (HP)
|
100% |
1889
351.3 IPS |
|
|
Image Classification (Q)
|
96% |
1357
253.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1050
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2154
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5157
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
10618
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9442
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1298
102.9 IPS |
|
|
Object Detection (HP)
|
97% |
2125
169.1 IPS |
|
|
Object Detection (Q)
|
94% |
1551
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
2409
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4486
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2617
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4738
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9544
73.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6631
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13165
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21805
28.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18934
24.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2873
106.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3986
147.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3031
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3525
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3063
52.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3501
60.5 IPS |
