iPad mini (6th generation)
Geekbench AI Score
2228
Single Precision Score
2378
Half Precision Score
2279
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Bustycat |
| Upload Date | August 16 2024 04:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
601
111.8 IPS |
|
|
Image Classification (HP)
|
100% |
624
116.0 IPS |
|
|
Image Classification (Q)
|
99% |
668
124.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2189
35.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
2234
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10666
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
11614
13.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
10485
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1068
84.7 IPS |
|
|
Object Detection (HP)
|
100% |
1029
81.6 IPS |
|
|
Object Detection (Q)
|
92% |
1006
80.3 IPS |
|
|
Face Detection (SP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
3674
43.7 IPS |
|
|
Face Detection (Q)
|
100% |
3360
39.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7056
54.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
7417
57.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
7528
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17808
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21777
28.0 IPS |
|
|
Style Transfer (Q)
|
100% |
21612
27.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2733
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2576
95.4 IPS |
|
|
Text Classification (SP)
|
100% |
361
481.8 IPS |
|
|
Text Classification (HP)
|
100% |
362
483.0 IPS |
|
|
Text Classification (Q)
|
93% |
222
298.5 IPS |
|
|
Machine Translation (SP)
|
100% |
516
8.88 IPS |
|
|
Machine Translation (HP)
|
100% |
587
10.1 IPS |
|
|
Machine Translation (Q)
|
98% |
770
13.3 IPS |
