iPad14,6
Geekbench AI Score
3460
Single Precision Score
5997
Half Precision Score
4877
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ocornielje |
| Upload Date | March 27 2025 07:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1399
260.1 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.2 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1487
24.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2795
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6805
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15141
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12969
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
97% |
2816
224.2 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6038
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5563
42.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10925
84.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7684
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18578
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29019
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
24035
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4011
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4996
184.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3749
138.4 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3817
5.09 KIPS |
|
|
Text Classification (Q)
|
93% |
3796
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3726
64.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6354
109.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6318
109.2 IPS |
