iPad mini (6th generation)
Geekbench AI Score
2711
Single Precision Score
2949
Half Precision Score
2844
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 06:20 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
649
120.7 IPS |
|
|
Image Classification (HP)
|
100% |
646
120.2 IPS |
|
|
Image Classification (Q)
|
97% |
495
92.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2249
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10798
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11810
13.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
10758
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1192
94.6 IPS |
|
|
Object Detection (HP)
|
100% |
1101
87.3 IPS |
|
|
Object Detection (Q)
|
91% |
1162
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
4375
52.0 IPS |
|
|
Face Detection (Q)
|
100% |
3594
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7551
58.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
7399
57.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6774
53.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18186
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21849
28.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20762
26.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2762
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2725
100.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2553
94.3 IPS |
|
|
Text Classification (SP)
|
100% |
2388
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
4114
5.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4062
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.66 IPS |
|
|
Machine Translation (Q)
|
98% |
475
8.21 IPS |
