iPad13,18
Geekbench AI Score
2456
Single Precision Score
2839
Half Precision Score
2531
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:19 PM |
| Views | 1 |
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 | 1.29 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1098
204.1 IPS |
|
|
Image Classification (HP)
|
100% |
1069
198.8 IPS |
|
|
Image Classification (Q)
|
97% |
935
174.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1188
19.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1506
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1597
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6101
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
8296
9.68 IPS |
|
|
Pose Estimation (Q)
|
95% |
7414
8.69 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
100% |
1263
100.2 IPS |
|
|
Object Detection (Q)
|
91% |
1055
84.3 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3851
45.8 IPS |
|
|
Face Detection (Q)
|
100% |
2704
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4820
37.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5542
42.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
4815
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13151
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13653
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12894
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2863
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2962
109.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2417
89.2 IPS |
|
|
Text Classification (SP)
|
100% |
2068
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3610
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3552
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
649
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
643
11.1 IPS |
