iPad13,18
Geekbench AI Score
2664
Single Precision Score
12482
Half Precision Score
12150
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Toptaap123 |
| Upload Date | October 30 2024 09:54 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1204
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
4388
816.0 IPS |
|
|
Image Classification (Q)
|
96% |
4386
819.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8303
134.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8341
135.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5017
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
60757
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59540
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
1310
103.9 IPS |
|
|
Object Detection (HP)
|
99% |
5973
475.1 IPS |
|
|
Object Detection (Q)
|
91% |
4952
395.7 IPS |
|
|
Face Detection (SP)
|
100% |
2471
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
14077
167.3 IPS |
|
|
Face Detection (Q)
|
100% |
11899
141.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4902
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
38988
300.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
35180
274.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13200
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
93914
120.7 IPS |
|
|
Style Transfer (Q)
|
96% |
92800
119.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17352
640.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18511
683.5 IPS |
|
|
Text Classification (SP)
|
100% |
2081
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2233
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2257
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4048
70.0 IPS |
