iPad13,18
Geekbench AI Score
2652
Single Precision Score
4591
Half Precision Score
3801
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 12 2025 03:09 PM |
| Views | 48 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1220
227.0 IPS |
|
|
Image Classification (HP)
|
100% |
1946
361.9 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2124
34.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5188
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
10894
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9627
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1290
102.3 IPS |
|
|
Object Detection (HP)
|
97% |
2121
168.9 IPS |
|
|
Object Detection (Q)
|
94% |
1561
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
2400
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (Q)
|
100% |
2619
31.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4767
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9020
69.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6439
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13261
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22894
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19566
25.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2831
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4158
153.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3146
116.2 IPS |
|
|
Text Classification (SP)
|
100% |
2137
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3672
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3626
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2166
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3854
66.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3850
66.5 IPS |
