iPad13,18
Geekbench AI Score
1387
Single Precision Score
2276
Half Precision Score
1863
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 18 2025 03:15 AM |
| Views | 3 |
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 | 1.29 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
565
105.0 IPS |
|
|
Image Classification (HP)
|
100% |
884
164.4 IPS |
|
|
Image Classification (Q)
|
96% |
620
115.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
857
13.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1034
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2711
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5970
6.97 IPS |
|
|
Pose Estimation (Q)
|
95% |
5151
6.04 IPS |
|
|
Object Detection (SP)
|
100% |
593
47.1 IPS |
|
|
Object Detection (HP)
|
97% |
986
78.5 IPS |
|
|
Object Detection (Q)
|
94% |
715
57.0 IPS |
|
|
Face Detection (SP)
|
100% |
1365
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2253
26.8 IPS |
|
|
Face Detection (Q)
|
100% |
1325
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2253
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4114
31.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
2952
23.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7078
9.10 IPS |
|
|
Style Transfer (HP)
|
100% |
11350
14.6 IPS |
|
|
Style Transfer (Q)
|
96% |
9399
12.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1603
59.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2038
75.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1493
55.1 IPS |
|
|
Text Classification (SP)
|
100% |
1052
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1802
2.41 KIPS |
|
|
Text Classification (Q)
|
93% |
1794
2.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
1211
20.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2172
37.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2175
37.6 IPS |
