iPad14,4
Geekbench AI Score
3460
Single Precision Score
5959
Half Precision Score
4822
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | SRLMJ23 |
| Upload Date | September 26 2024 05:53 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1394
259.3 IPS |
|
|
Image Classification (HP)
|
100% |
2527
470.0 IPS |
|
|
Image Classification (Q)
|
96% |
1765
329.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2459
39.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2843
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6889
8.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
14796
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12706
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1555
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2870
228.5 IPS |
|
|
Object Detection (Q)
|
94% |
2073
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3156
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6228
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
3558
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5690
43.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11560
89.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7979
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18819
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28529
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23751
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4050
149.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3606
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2201
2.94 KIPS |
|
|
Text Classification (HP)
|
100% |
3750
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3708
4.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5739
99.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5710
98.7 IPS |
