iPad13,18
Geekbench AI Score
2621
Single Precision Score
4415
Half Precision Score
3707
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 09:24 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1188
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
1880
349.6 IPS |
|
|
Image Classification (Q)
|
96% |
1354
252.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1028
16.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2144
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5213
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
10732
12.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9438
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
97% |
2113
168.2 IPS |
|
|
Object Detection (Q)
|
94% |
1546
123.2 IPS |
|
|
Face Detection (SP)
|
100% |
2374
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
4370
51.9 IPS |
|
|
Face Detection (Q)
|
100% |
2554
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4825
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9544
73.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6613
51.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13206
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21978
28.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18956
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2845
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3921
144.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2987
110.3 IPS |
|
|
Text Classification (SP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3544
4.73 KIPS |
|
|
Text Classification (Q)
|
93% |
3573
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2061
35.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2987
51.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3391
58.6 IPS |
