iPad13,18
Geekbench AI Score
2678
Single Precision Score
4598
Half Precision Score
3810
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 01:19 PM |
| Views | 2 |
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% |
1232
229.2 IPS |
|
|
Image Classification (HP)
|
100% |
1949
362.5 IPS |
|
|
Image Classification (Q)
|
96% |
1371
256.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2080
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4972
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
10579
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9450
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1280
101.5 IPS |
|
|
Object Detection (HP)
|
97% |
2165
172.3 IPS |
|
|
Object Detection (Q)
|
94% |
1581
126.0 IPS |
|
|
Face Detection (SP)
|
100% |
2460
29.2 IPS |
|
|
Face Detection (HP)
|
100% |
4555
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
2664
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4783
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8902
68.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6426
50.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13518
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
22972
29.5 IPS |
|
|
Style Transfer (Q)
|
96% |
19548
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2871
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4078
150.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3160
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
2132
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3679
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3622
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2240
38.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3956
68.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3955
68.3 IPS |
