iPad mini (6th generation)
Geekbench AI Score
3183
Single Precision Score
18170
Half Precision Score
20508
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ajebulon |
| Upload Date | November 27 2024 02:17 AM |
| 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 | iPad14,1 |
| 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 | 3.77 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1292
240.4 IPS |
|
|
Image Classification (HP)
|
100% |
9397
1.75 KIPS |
|
|
Image Classification (Q)
|
96% |
10290
1.92 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1277
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
11145
180.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13090
212.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6138
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
75344
87.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
80862
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
1419
112.5 IPS |
|
|
Object Detection (HP)
|
99% |
10400
827.3 IPS |
|
|
Object Detection (Q)
|
91% |
11527
921.0 IPS |
|
|
Face Detection (SP)
|
100% |
2700
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
21738
258.3 IPS |
|
|
Face Detection (Q)
|
100% |
30055
357.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5303
40.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
54984
423.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
75763
592.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17000
21.9 IPS |
|
|
Style Transfer (HP)
|
100% |
142455
183.1 IPS |
|
|
Style Transfer (Q)
|
96% |
134923
174.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3770
139.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26396
974.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28527
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
2421
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2267
3.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3376
58.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4395
75.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5276
91.2 IPS |
