iPad13,18
Geekbench AI Score
2449
Single Precision Score
2857
Half Precision Score
2550
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 06:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1039
193.2 IPS |
|
|
Image Classification (HP)
|
100% |
1076
200.0 IPS |
|
|
Image Classification (Q)
|
97% |
955
178.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1229
19.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1599
25.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1619
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6119
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8304
9.69 IPS |
|
|
Pose Estimation (Q)
|
95% |
7488
8.78 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
100% |
1261
100.0 IPS |
|
|
Object Detection (Q)
|
91% |
1041
83.2 IPS |
|
|
Face Detection (SP)
|
100% |
3321
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3823
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
2712
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4857
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5565
42.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
4804
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13171
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13555
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12897
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2848
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2983
110.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2460
90.8 IPS |
|
|
Text Classification (SP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3641
4.86 KIPS |
|
|
Text Classification (Q)
|
93% |
3618
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
643
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
647
11.2 IPS |
