iPad13,18 (iPad 10) iPad13,18
Geekbench AI Score
2453
Single Precision Score
2868
Half Precision Score
2541
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | joebot |
| Upload Date | March 08 2025 03:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
1031
191.7 IPS |
|
|
Image Classification (HP)
|
100% |
1065
198.1 IPS |
|
|
Image Classification (Q)
|
97% |
944
176.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1235
20.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1590
25.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1612
26.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6119
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
8721
10.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
7640
8.95 IPS |
|
|
Object Detection (SP)
|
100% |
1244
98.7 IPS |
|
|
Object Detection (HP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (Q)
|
91% |
1049
83.8 IPS |
|
|
Face Detection (SP)
|
100% |
3334
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3814
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
2672
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4768
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5584
43.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
4775
37.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13193
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13600
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
12913
16.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2854
105.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2989
110.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2439
90.1 IPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3555
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3549
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
652
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
647
11.2 IPS |
