iPad13,18
Geekbench AI Score
2730
Single Precision Score
4645
Half Precision Score
3857
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 29 2025 02:03 PM |
| Views | 14 |
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% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
1943
361.3 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1730
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2136
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5409
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
11266
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10108
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1301
103.2 IPS |
|
|
Object Detection (HP)
|
97% |
2135
170.0 IPS |
|
|
Object Detection (Q)
|
94% |
1572
125.3 IPS |
|
|
Face Detection (SP)
|
100% |
2430
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
4488
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2663
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4906
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9067
70.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
6459
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14199
18.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24169
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20074
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3031
111.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4095
151.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3162
116.8 IPS |
|
|
Text Classification (SP)
|
100% |
2163
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3668
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3690
4.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
2213
38.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3920
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3915
67.7 IPS |
