iPad mini (6th generation)
Geekbench AI Score
2841
Single Precision Score
4263
Half Precision Score
3486
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | macbloke |
| Upload Date | September 02 2024 02:08 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6 |
| 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% |
1348
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
1672
310.9 IPS |
|
|
Image Classification (Q)
|
99% |
1668
311.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1056
17.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
1052
17.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5275
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
12501
14.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
10546
12.4 IPS |
|
|
Object Detection (SP)
|
100% |
1372
108.8 IPS |
|
|
Object Detection (HP)
|
97% |
2001
159.3 IPS |
|
|
Object Detection (Q)
|
94% |
1528
121.8 IPS |
|
|
Face Detection (SP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
3773
44.8 IPS |
|
|
Face Detection (Q)
|
100% |
2421
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4657
35.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
7634
59.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3532
27.3 IPS |
|
|
Style Transfer (SP)
|
100% |
15361
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23995
30.8 IPS |
|
|
Style Transfer (Q)
|
100% |
23963
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3319
122.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4639
171.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3277
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
2341
3.12 KIPS |
|
|
Text Classification (HP)
|
100% |
3405
4.55 KIPS |
|
|
Text Classification (Q)
|
93% |
3362
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2500
43.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4115
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4163
71.9 IPS |
