iPad mini (6th generation)
Geekbench AI Score
3140
Single Precision Score
18439
Half Precision Score
20365
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 04:04 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1293
240.5 IPS |
|
|
Image Classification (HP)
|
100% |
9287
1.73 KIPS |
|
|
Image Classification (Q)
|
96% |
9922
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1255
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11315
183.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
12721
206.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5956
6.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
77029
89.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80671
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.2 IPS |
|
|
Object Detection (HP)
|
99% |
11054
879.3 IPS |
|
|
Object Detection (Q)
|
91% |
11425
912.9 IPS |
|
|
Face Detection (SP)
|
100% |
2609
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
21779
258.8 IPS |
|
|
Face Detection (Q)
|
100% |
29284
348.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5226
40.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
52585
405.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
68312
533.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16807
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
153898
197.8 IPS |
|
|
Style Transfer (Q)
|
96% |
140617
181.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3849
142.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26940
994.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29268
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
2447
3.27 KIPS |
|
|
Text Classification (Q)
|
93% |
2492
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4372
75.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5141
88.8 IPS |
