iPad14,6
Geekbench AI Score
3440
Single Precision Score
26445
Half Precision Score
28864
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | shagger1111 |
| Upload Date | April 10 2025 12:25 PM |
| Views | 4 |
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 | 3.48 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
14548
2.71 KIPS |
|
|
Image Classification (Q)
|
96% |
15322
2.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1477
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19424
314.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23913
387.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6820
7.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
101818
118.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
106389
124.7 IPS |
|
|
Object Detection (SP)
|
100% |
1521
120.6 IPS |
|
|
Object Detection (HP)
|
99% |
15049
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
16727
1.34 KIPS |
|
|
Face Detection (SP)
|
100% |
3126
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
32856
390.4 IPS |
|
|
Face Detection (Q)
|
100% |
41487
493.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5580
43.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
84321
649.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
103263
807.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18636
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
201918
259.6 IPS |
|
|
Style Transfer (Q)
|
96% |
188545
243.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3936
145.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42009
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45504
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2302
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3908
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3850
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
3698
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4207
72.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4351
75.2 IPS |
