iPad13,18
Geekbench AI Score
1244
Single Precision Score
4605
Half Precision Score
3834
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 12:43 PM |
| 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% |
1227
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.6 IPS |
|
|
Image Classification (Q)
|
96% |
1373
256.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1057
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1727
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2125
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5379
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
10986
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9743
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1296
102.8 IPS |
|
|
Object Detection (HP)
|
97% |
2121
168.9 IPS |
|
|
Object Detection (Q)
|
94% |
1566
124.8 IPS |
|
|
Face Detection (SP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4438
52.7 IPS |
|
|
Face Detection (Q)
|
100% |
2629
31.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4845
37.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8908
68.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6436
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13652
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23519
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
19952
25.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2923
107.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4110
151.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3140
116.0 IPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3741
5.02 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
98% |
3882
67.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3893
67.3 IPS |
