iPad13,18
Geekbench AI Score
2599
Single Precision Score
2974
Half Precision Score
2802
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 11 2025 03:52 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
1064
197.9 IPS |
|
|
Image Classification (HP)
|
100% |
1048
194.9 IPS |
|
|
Image Classification (Q)
|
96% |
1025
191.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1796
29.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1743
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6104
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
8355
9.75 IPS |
|
|
Pose Estimation (Q)
|
94% |
7724
9.06 IPS |
|
|
Object Detection (SP)
|
100% |
1195
94.7 IPS |
|
|
Object Detection (HP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (Q)
|
92% |
1135
90.6 IPS |
|
|
Face Detection (SP)
|
100% |
3268
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
3820
45.4 IPS |
|
|
Face Detection (Q)
|
100% |
3271
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4759
36.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5668
43.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5218
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13068
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
13659
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13284
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3002
110.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2658
98.2 IPS |
|
|
Text Classification (SP)
|
100% |
2094
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3700
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3664
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
865
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
850
14.6 IPS |
|
|
Machine Translation (Q)
|
98% |
864
14.9 IPS |
