iPad13,18
Geekbench AI Score
2636
Single Precision Score
4558
Half Precision Score
3795
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | zlocorp |
| Upload Date | April 13 2025 04:30 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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
226.4 IPS |
|
|
Image Classification (HP)
|
100% |
1928
358.5 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1718
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2133
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5180
6.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
10822
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9518
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (HP)
|
97% |
2124
169.1 IPS |
|
|
Object Detection (Q)
|
94% |
1561
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
2393
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
2594
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4742
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9026
69.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6405
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13220
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22443
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19418
25.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2805
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4040
149.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3132
115.6 IPS |
|
|
Text Classification (SP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3709
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3824
66.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3813
65.9 IPS |
