iPad14,6
Geekbench AI Score
3457
Single Precision Score
26026
Half Precision Score
28812
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | August 04 2025 04:42 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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 | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (HP)
|
100% |
14075
2.62 KIPS |
|
|
Image Classification (Q)
|
96% |
14675
2.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19544
316.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23919
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6843
7.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
101463
118.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
106008
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.7 IPS |
|
|
Object Detection (HP)
|
99% |
14959
1.19 KIPS |
|
|
Object Detection (Q)
|
91% |
16747
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32647
387.9 IPS |
|
|
Face Detection (Q)
|
100% |
41180
489.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5634
43.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84281
649.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
104192
814.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18660
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
202125
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
193456
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3949
145.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37945
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45715
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3817
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4237
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4368
75.5 IPS |
