iPad13,18
Geekbench AI Score
1261
Single Precision Score
4647
Half Precision Score
3858
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:23 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% |
1236
229.9 IPS |
|
|
Image Classification (HP)
|
100% |
1940
360.8 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2140
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5512
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
11247
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
10063
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
97% |
2148
171.0 IPS |
|
|
Object Detection (Q)
|
94% |
1573
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2449
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4500
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2661
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4874
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9105
70.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6457
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14009
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23816
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
20066
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2981
110.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4085
150.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3155
116.5 IPS |
|
|
Text Classification (SP)
|
100% |
2130
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3698
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3702
4.97 KIPS |
|
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
98% |
3922
67.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3919
67.7 IPS |
