iPad13,18
Geekbench AI Score
2736
Single Precision Score
4633
Half Precision Score
3851
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 11:13 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% |
1238
230.3 IPS |
|
|
Image Classification (HP)
|
100% |
1946
361.9 IPS |
|
|
Image Classification (Q)
|
96% |
1375
256.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1085
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1680
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2131
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5667
6.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
11653
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10341
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
97% |
2129
169.5 IPS |
|
|
Object Detection (Q)
|
94% |
1564
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2392
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
4490
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2661
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4912
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9028
69.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6463
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14479
18.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24275
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20104
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3108
114.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3148
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
2068
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3575
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2205
38.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3908
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3895
67.3 IPS |
