iPad13,18
Geekbench AI Score
2764
Single Precision Score
4581
Half Precision Score
3824
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 13 2024 06:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1240
230.7 IPS |
|
|
Image Classification (HP)
|
100% |
1921
357.2 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1121
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2192
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5511
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
11188
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10022
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1322
104.9 IPS |
|
|
Object Detection (HP)
|
97% |
2185
173.9 IPS |
|
|
Object Detection (Q)
|
94% |
1578
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
2489
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
4664
55.4 IPS |
|
|
Face Detection (Q)
|
100% |
2741
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5022
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9706
75.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6695
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
14328
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
23214
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19487
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3084
113.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3980
147.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3033
112.0 IPS |
|
|
Text Classification (SP)
|
100% |
2070
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3585
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3557
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3302
57.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3653
63.1 IPS |
