iPad mini (6th generation)
Geekbench AI Score
2899
Single Precision Score
4297
Half Precision Score
3531
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,1 |
| Motherboard | J310AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.92 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (HP)
|
100% |
1683
313.0 IPS |
|
|
Image Classification (Q)
|
99% |
1675
312.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1059
17.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5610
6.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
13050
15.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
10913
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
97% |
2031
161.7 IPS |
|
|
Object Detection (Q)
|
94% |
1551
123.6 IPS |
|
|
Face Detection (SP)
|
100% |
2355
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
3846
45.7 IPS |
|
|
Face Detection (Q)
|
100% |
2455
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4838
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
7786
60.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
3553
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15734
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24335
31.3 IPS |
|
|
Style Transfer (Q)
|
100% |
24245
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3411
126.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3349
124.1 IPS |
|
|
Text Classification (SP)
|
100% |
2322
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
3411
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3430
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2481
42.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4141
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4135
71.5 IPS |
