iPad16,2
Geekbench AI Score
4060
Single Precision Score
6959
Half Precision Score
5661
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | JESSAYE |
| Upload Date | November 09 2024 12:54 PM |
| Views | 16 |
| Notes | iPad mini 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1741
323.8 IPS |
|
|
Image Classification (HP)
|
100% |
2904
540.1 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3112
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8324
9.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
16552
19.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14361
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
1829
145.1 IPS |
|
|
Object Detection (HP)
|
97% |
3383
269.4 IPS |
|
|
Object Detection (Q)
|
94% |
2370
188.9 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
7037
83.6 IPS |
|
|
Face Detection (Q)
|
100% |
3975
47.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7112
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13739
106.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9421
73.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21677
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32849
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27726
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5052
186.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5882
217.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4436
163.8 IPS |
|
|
Text Classification (SP)
|
100% |
3202
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5531
7.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3328
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6210
107.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6215
107.4 IPS |
