iPad14,4
Geekbench AI Score
3475
Single Precision Score
5995
Half Precision Score
4872
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 11:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad14,4 |
| Model ID | iPad14,4 |
| Motherboard | J618AP |
| 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 | 7.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.7 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (Q)
|
96% |
1773
331.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2476
40.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2874
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6884
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14629
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12698
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2933
233.5 IPS |
|
|
Object Detection (Q)
|
94% |
2122
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
3184
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
6304
74.9 IPS |
|
|
Face Detection (Q)
|
100% |
3629
43.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5731
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11757
90.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
8117
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
18909
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28627
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23901
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4058
149.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4810
177.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3615
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2245
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3750
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3732
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3566
61.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5808
100.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5782
99.9 IPS |
