iPad14,6
Geekbench AI Score
3458
Single Precision Score
26018
Half Precision Score
29341
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ocornielje |
| Upload Date | March 27 2025 07:10 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| Model | iPad14,6 |
| Model ID | iPad14,6 |
| Motherboard | J621AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1395
259.4 IPS |
|
|
Image Classification (HP)
|
100% |
14273
2.65 KIPS |
|
|
Image Classification (Q)
|
96% |
15331
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1490
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19367
314.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23914
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6822
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
100697
117.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
105370
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
1536
121.8 IPS |
|
|
Object Detection (HP)
|
99% |
14957
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
17914
1.43 KIPS |
|
|
Face Detection (SP)
|
100% |
3133
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
32762
389.3 IPS |
|
|
Face Detection (Q)
|
100% |
41279
490.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5577
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84093
647.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
104614
817.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18647
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
200063
257.2 IPS |
|
|
Style Transfer (Q)
|
96% |
191786
247.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3991
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37656
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47178
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
2320
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3894
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3996
5.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4226
72.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4377
75.6 IPS |
