iPad13,18
Geekbench AI Score
2476
Single Precision Score
2837
Half Precision Score
2188
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Namelessmint |
| Upload Date | August 16 2024 04:50 PM |
| Views | 15 |
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% |
1073
199.6 IPS |
|
|
Image Classification (HP)
|
100% |
1053
195.8 IPS |
|
|
Image Classification (Q)
|
99% |
1093
203.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1256
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1552
25.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1593
25.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6123
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8298
9.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
7301
8.56 IPS |
|
|
Object Detection (SP)
|
100% |
1253
99.4 IPS |
|
|
Object Detection (HP)
|
100% |
1256
99.6 IPS |
|
|
Object Detection (Q)
|
91% |
1024
81.8 IPS |
|
|
Face Detection (SP)
|
100% |
3350
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3841
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2697
32.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4903
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5562
42.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
998
7.71 IPS |
|
|
Style Transfer (SP)
|
100% |
13186
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13593
17.5 IPS |
|
|
Style Transfer (Q)
|
100% |
13509
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2863
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2996
110.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2422
89.7 IPS |
|
|
Text Classification (SP)
|
100% |
2093
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (Q)
|
93% |
3483
4.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
632
10.9 IPS |
