iPad13,18
Geekbench AI Score
2633
Single Precision Score
4480
Half Precision Score
3929
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Namelessmint |
| Upload Date | August 16 2024 04:46 PM |
| Views | 4 |
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 | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1194
222.0 IPS |
|
|
Image Classification (HP)
|
100% |
1887
350.9 IPS |
|
|
Image Classification (Q)
|
99% |
1882
350.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1748
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5178
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
10653
12.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
9366
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1306
103.6 IPS |
|
|
Object Detection (HP)
|
97% |
2128
169.4 IPS |
|
|
Object Detection (Q)
|
94% |
1556
124.0 IPS |
|
|
Face Detection (SP)
|
100% |
2384
28.3 IPS |
|
|
Face Detection (HP)
|
100% |
4473
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2616
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4763
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9574
74.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
9597
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13207
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21977
28.3 IPS |
|
|
Style Transfer (Q)
|
100% |
22046
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2840
104.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4172
154.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2993
110.9 IPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (Q)
|
93% |
3572
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2111
36.4 IPS |
|
|
Machine Translation (HP)
|
98% |
3081
53.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3092
53.4 IPS |
