iPad16,2
Geekbench AI Score
3929
Single Precision Score
6758
Half Precision Score
5511
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | shibuya0911 |
| Upload Date | November 11 2024 03:38 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.76 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1744
324.3 IPS |
|
|
Image Classification (HP)
|
100% |
2918
542.6 IPS |
|
|
Image Classification (Q)
|
96% |
1995
372.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1651
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2374
38.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7614
8.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
15541
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13590
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1755
139.2 IPS |
|
|
Object Detection (HP)
|
97% |
3314
263.9 IPS |
|
|
Object Detection (Q)
|
94% |
2300
183.3 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
6764
80.4 IPS |
|
|
Face Detection (Q)
|
100% |
3815
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6803
52.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13252
102.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9078
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20398
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31365
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26706
34.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4726
174.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5873
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4343
160.4 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5490
7.33 KIPS |
|
|
Text Classification (Q)
|
93% |
5474
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6150
106.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6191
107.0 IPS |
