iPad13,18
Geekbench AI Score
2656
Single Precision Score
11289
Half Precision Score
10928
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:22 PM |
| Views | 1 |
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% |
1190
221.2 IPS |
|
|
Image Classification (HP)
|
100% |
4347
808.4 IPS |
|
|
Image Classification (Q)
|
96% |
4512
842.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1034
16.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5508
89.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5794
93.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5127
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
60550
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
60379
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
1303
103.3 IPS |
|
|
Object Detection (HP)
|
99% |
5927
471.5 IPS |
|
|
Object Detection (Q)
|
91% |
4807
384.1 IPS |
|
|
Face Detection (SP)
|
100% |
2396
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
14074
167.2 IPS |
|
|
Face Detection (Q)
|
100% |
11863
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4858
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
38136
293.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
37735
294.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13354
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
95437
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
93360
120.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2910
107.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17031
628.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17786
656.8 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (Q)
|
93% |
2220
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1962
33.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1940
33.5 IPS |
