iPad13,18
Geekbench AI Score
2484
Single Precision Score
2842
Half Precision Score
2544
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | January 01 2025 07:06 PM |
| Views | 4 |
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% |
1105
205.5 IPS |
|
|
Image Classification (HP)
|
100% |
1059
197.0 IPS |
|
|
Image Classification (Q)
|
97% |
952
177.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1291
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1531
24.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1580
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6144
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
8362
9.76 IPS |
|
|
Pose Estimation (Q)
|
95% |
7623
8.93 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
100% |
1266
100.5 IPS |
|
|
Object Detection (Q)
|
91% |
1046
83.5 IPS |
|
|
Face Detection (SP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3863
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
2703
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4920
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5553
42.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
4810
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13057
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13661
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12905
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2992
110.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2464
91.0 IPS |
|
|
Text Classification (SP)
|
100% |
2091
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3530
4.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
650
11.2 IPS |
