iPad13,18
Geekbench AI Score
2622
Single Precision Score
4439
Half Precision Score
3712
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | F0xMaster |
| Upload Date | October 10 2024 02:41 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1192
221.7 IPS |
|
|
Image Classification (HP)
|
100% |
1874
348.5 IPS |
|
|
Image Classification (Q)
|
96% |
1350
252.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2130
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5119
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
10629
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9421
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
97% |
2124
169.1 IPS |
|
|
Object Detection (Q)
|
94% |
1549
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
2386
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4398
52.3 IPS |
|
|
Face Detection (Q)
|
100% |
2594
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4792
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9513
73.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6634
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13073
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21779
28.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18837
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2819
104.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3981
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3024
111.7 IPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3506
4.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3098
53.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3453
59.7 IPS |
