iPad (10th generation) iPad13,18
Geekbench AI Score
2521
Single Precision Score
2876
Half Precision Score
2546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Atirox |
| Upload Date | February 13 2025 05:43 AM |
| Views | 8 |
| Notes | iPad13,18 |
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% |
1107
205.9 IPS |
|
|
Image Classification (HP)
|
100% |
1099
204.4 IPS |
|
|
Image Classification (Q)
|
97% |
953
177.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1374
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1614
26.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1544
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6130
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8592
10.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
7613
8.92 IPS |
|
|
Object Detection (SP)
|
100% |
1274
101.0 IPS |
|
|
Object Detection (HP)
|
100% |
1284
101.9 IPS |
|
|
Object Detection (Q)
|
91% |
1056
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
3457
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3835
45.6 IPS |
|
|
Face Detection (Q)
|
100% |
2762
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4945
38.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5601
43.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4813
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13184
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13729
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12861
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2881
106.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2952
109.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2494
92.1 IPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (Q)
|
93% |
3500
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
645
11.1 IPS |
|
|
Machine Translation (Q)
|
98% |
649
11.2 IPS |
