iPad mini (6th generation)
Geekbench AI Score
3148
Single Precision Score
5473
Half Precision Score
4386
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Xevious |
| Upload Date | September 13 2024 01:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| 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 | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1294
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
2249
418.3 IPS |
|
|
Image Classification (Q)
|
96% |
1551
289.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1288
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1925
31.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2290
37.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5894
6.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
13182
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11282
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1371
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
2594
206.5 IPS |
|
|
Object Detection (Q)
|
94% |
1844
147.0 IPS |
|
|
Face Detection (SP)
|
100% |
2613
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5456
64.8 IPS |
|
|
Face Detection (Q)
|
100% |
3028
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5273
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10717
82.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7175
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16948
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26055
33.5 IPS |
|
|
Style Transfer (Q)
|
96% |
21526
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4698
173.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3412
126.0 IPS |
|
|
Text Classification (SP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4119
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3337
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5497
95.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5428
93.8 IPS |
