iPad13,18
Geekbench AI Score
2673
Single Precision Score
4587
Half Precision Score
3815
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 02:19 PM |
| Views | 1 |
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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.6 IPS |
|
|
Image Classification (Q)
|
96% |
1372
256.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1733
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2142
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5213
6.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
10837
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9650
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
97% |
2145
170.7 IPS |
|
|
Object Detection (Q)
|
94% |
1571
125.2 IPS |
|
|
Face Detection (SP)
|
100% |
2435
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
4484
53.3 IPS |
|
|
Face Detection (Q)
|
100% |
2659
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4819
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9056
70.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6441
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13349
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23053
29.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19773
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2885
106.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4029
148.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3146
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
2098
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3536
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3920
67.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3899
67.4 IPS |
