iPad13,18
Geekbench AI Score
2666
Single Precision Score
10582
Half Precision Score
10946
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Namelessmint |
| Upload Date | August 16 2024 04:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1189
221.0 IPS |
|
|
Image Classification (HP)
|
100% |
4906
912.4 IPS |
|
|
Image Classification (Q)
|
99% |
5326
993.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5584
90.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
5201
84.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5160
6.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
57494
67.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
58808
69.0 IPS |
|
|
Object Detection (SP)
|
100% |
1300
103.2 IPS |
|
|
Object Detection (HP)
|
99% |
4770
379.4 IPS |
|
|
Object Detection (Q)
|
91% |
4511
360.4 IPS |
|
|
Face Detection (SP)
|
100% |
2497
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
11340
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
11578
137.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4912
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34319
264.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
37856
292.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13387
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
94535
121.5 IPS |
|
|
Style Transfer (Q)
|
100% |
95195
122.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2921
107.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17460
644.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
18185
673.7 IPS |
|
|
Text Classification (SP)
|
100% |
2060
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (Q)
|
93% |
2250
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2182
37.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1984
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1969
34.0 IPS |
