iPad13,18
Geekbench AI Score
2635
Single Precision Score
4433
Half Precision Score
3714
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 08:09 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% |
1211
225.2 IPS |
|
|
Image Classification (HP)
|
100% |
1909
355.1 IPS |
|
|
Image Classification (Q)
|
96% |
1362
254.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1084
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1741
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2087
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4951
5.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
10174
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9168
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
97% |
2121
168.8 IPS |
|
|
Object Detection (Q)
|
94% |
1547
123.3 IPS |
|
|
Face Detection (SP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
4522
53.7 IPS |
|
|
Face Detection (Q)
|
100% |
2623
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4746
36.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9370
72.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6582
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12959
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21331
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18525
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2852
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3987
147.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3011
111.2 IPS |
|
|
Text Classification (SP)
|
100% |
2085
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3598
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3194
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3583
61.9 IPS |
