iPad13,18
Geekbench AI Score
2732
Single Precision Score
4689
Half Precision Score
3871
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:30 PM |
| Views | 1 |
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% |
1237
230.1 IPS |
|
|
Image Classification (HP)
|
100% |
1948
362.3 IPS |
|
|
Image Classification (Q)
|
96% |
1374
256.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1083
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1732
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2139
34.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5514
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
11361
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10093
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1299
103.0 IPS |
|
|
Object Detection (HP)
|
97% |
2144
170.7 IPS |
|
|
Object Detection (Q)
|
94% |
1573
125.4 IPS |
|
|
Face Detection (SP)
|
100% |
2425
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2679
31.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4878
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9150
70.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6457
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14101
18.1 IPS |
|
|
Style Transfer (HP)
|
100% |
23894
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
20076
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3001
110.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4304
158.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3188
117.7 IPS |
|
|
Text Classification (SP)
|
100% |
2184
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
3777
5.04 KIPS |
|
|
Text Classification (Q)
|
93% |
3750
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2212
38.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3910
67.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3903
67.4 IPS |
