iPad14,11
Geekbench AI Score
3465
Single Precision Score
5957
Half Precision Score
4849
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad14,11 |
| Model ID | iPad14,11 |
| Motherboard | J538AP |
| 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 | 7.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
2530
470.5 IPS |
|
|
Image Classification (Q)
|
96% |
1768
330.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2470
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2859
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6877
8.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
14868
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12988
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1553
123.2 IPS |
|
|
Object Detection (HP)
|
97% |
2876
229.0 IPS |
|
|
Object Detection (Q)
|
94% |
2076
165.5 IPS |
|
|
Face Detection (SP)
|
100% |
3152
37.5 IPS |
|
|
Face Detection (HP)
|
100% |
6168
73.3 IPS |
|
|
Face Detection (Q)
|
100% |
3537
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5664
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11603
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7983
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18836
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28541
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23802
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4065
150.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3606
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2251
3.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3689
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3751
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3544
61.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5779
99.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5812
100.4 IPS |
