iPad13,18
Geekbench AI Score
2750
Single Precision Score
10779
Half Precision Score
10931
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:27 PM |
| Views | 2 |
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% |
1203
223.7 IPS |
|
|
Image Classification (HP)
|
100% |
3868
719.2 IPS |
|
|
Image Classification (Q)
|
96% |
4026
751.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1064
17.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5499
89.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5673
92.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5471
6.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
60783
70.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59239
69.4 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
99% |
5807
461.9 IPS |
|
|
Object Detection (Q)
|
91% |
4983
398.1 IPS |
|
|
Face Detection (SP)
|
100% |
2489
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
13909
165.3 IPS |
|
|
Face Detection (Q)
|
100% |
12503
148.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4993
38.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36570
281.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
35790
279.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14260
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
94241
121.1 IPS |
|
|
Style Transfer (Q)
|
96% |
92558
119.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3121
115.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16271
600.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19009
701.9 IPS |
|
|
Text Classification (SP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
1818
2.43 KIPS |
|
|
Text Classification (Q)
|
93% |
2319
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1989
34.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1980
34.2 IPS |
