iPad13,18
Geekbench AI Score
2679
Single Precision Score
11138
Half Precision Score
11108
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:52 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 | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1219
226.6 IPS |
|
|
Image Classification (HP)
|
100% |
3808
708.2 IPS |
|
|
Image Classification (Q)
|
96% |
4632
865.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5627
91.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
5607
90.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5260
6.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
60636
70.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59762
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
1312
104.0 IPS |
|
|
Object Detection (HP)
|
99% |
5776
459.5 IPS |
|
|
Object Detection (Q)
|
91% |
4969
397.0 IPS |
|
|
Face Detection (SP)
|
100% |
2412
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
14065
167.1 IPS |
|
|
Face Detection (Q)
|
100% |
12016
142.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4915
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
38688
298.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
43264
338.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13659
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94044
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
92096
118.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17243
636.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17925
661.9 IPS |
|
|
Text Classification (SP)
|
100% |
2090
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2289
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2229
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1940
33.5 IPS |
