iPad13,18
Geekbench AI Score
2549
Single Precision Score
12514
Half Precision Score
12342
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 08:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
4260
792.3 IPS |
|
|
Image Classification (Q)
|
96% |
4700
877.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8252
133.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8211
133.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5414
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
62699
73.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
61844
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.5 IPS |
|
|
Object Detection (HP)
|
99% |
5854
465.7 IPS |
|
|
Object Detection (Q)
|
91% |
4972
397.3 IPS |
|
|
Face Detection (SP)
|
100% |
2109
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
14019
166.6 IPS |
|
|
Face Detection (Q)
|
100% |
9685
115.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4672
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35059
270.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
33577
262.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11147
14.3 IPS |
|
|
Style Transfer (HP)
|
100% |
94680
121.7 IPS |
|
|
Style Transfer (Q)
|
96% |
97693
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2736
101.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15611
576.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20335
750.9 IPS |
|
|
Text Classification (SP)
|
100% |
2075
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2231
2.98 KIPS |
|
|
Text Classification (Q)
|
93% |
2334
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1969
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4506
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4586
79.2 IPS |
