iPad13,18
Geekbench AI Score
2664
Single Precision Score
11449
Half Precision Score
10968
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | F0xMaster |
| Upload Date | October 10 2024 02:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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% |
1198
222.8 IPS |
|
|
Image Classification (HP)
|
100% |
4651
865.0 IPS |
|
|
Image Classification (Q)
|
96% |
4839
903.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1044
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5600
90.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
5535
89.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5152
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
60836
71.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
60155
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
1302
103.3 IPS |
|
|
Object Detection (HP)
|
99% |
5872
467.1 IPS |
|
|
Object Detection (Q)
|
91% |
5064
404.6 IPS |
|
|
Face Detection (SP)
|
100% |
2493
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
14103
167.6 IPS |
|
|
Face Detection (Q)
|
100% |
11913
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4806
37.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38891
299.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
33884
264.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13298
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
94032
120.9 IPS |
|
|
Style Transfer (Q)
|
96% |
92529
119.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2902
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17323
639.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18355
677.8 IPS |
|
|
Text Classification (SP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2401
3.21 KIPS |
|
|
Text Classification (Q)
|
93% |
2267
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1939
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1988
34.4 IPS |
