iPad14,4
Geekbench AI Score
3326
Single Precision Score
25117
Half Precision Score
28645
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 271belair |
| Upload Date | February 24 2025 02:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
11465
2.13 KIPS |
|
|
Image Classification (Q)
|
96% |
15383
2.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1179
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18007
291.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22865
370.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6678
7.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
97372
113.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
97225
114.0 IPS |
|
|
Object Detection (SP)
|
100% |
1478
117.3 IPS |
|
|
Object Detection (HP)
|
99% |
15127
1.20 KIPS |
|
|
Object Detection (Q)
|
91% |
17456
1.39 KIPS |
|
|
Face Detection (SP)
|
100% |
3154
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
32986
391.9 IPS |
|
|
Face Detection (Q)
|
100% |
41784
496.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5671
43.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
84389
650.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
106333
830.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18944
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
201117
258.5 IPS |
|
|
Style Transfer (Q)
|
96% |
191367
246.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4117
152.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37690
1.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45591
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
2221
2.97 KIPS |
|
|
Text Classification (HP)
|
100% |
3787
5.05 KIPS |
|
|
Text Classification (Q)
|
93% |
3749
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4113
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4288
74.1 IPS |
