iPad13,18
Geekbench AI Score
2520
Single Precision Score
4429
Half Precision Score
3694
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 08 2025 05:03 PM |
| Views | 6 |
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% |
1195
222.2 IPS |
|
|
Image Classification (HP)
|
100% |
1915
356.1 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
997
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1674
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2030
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4342
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
9997
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9105
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1216
96.4 IPS |
|
|
Object Detection (HP)
|
97% |
2087
166.2 IPS |
|
|
Object Detection (Q)
|
94% |
1531
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
2309
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
4255
50.6 IPS |
|
|
Face Detection (Q)
|
100% |
2499
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4563
35.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8783
67.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6322
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12580
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21724
27.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18758
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2737
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3918
144.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3093
114.2 IPS |
|
|
Text Classification (SP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (HP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3617
4.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
2094
36.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3720
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3702
64.0 IPS |
