iPad13,18
Geekbench AI Score
2672
Single Precision Score
4598
Half Precision Score
3825
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 11:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.2 IPS |
|
|
Image Classification (Q)
|
96% |
1368
255.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2121
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5403
6.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
11172
13.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9881
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (HP)
|
97% |
2124
169.1 IPS |
|
|
Object Detection (Q)
|
94% |
1563
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2388
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4389
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2606
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4788
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8868
68.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6458
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13837
17.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23655
30.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19947
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2915
107.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4075
150.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3135
115.8 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3704
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3721
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2165
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3855
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3823
66.1 IPS |
