iPad mini (6th generation)
Geekbench AI Score
1889
Single Precision Score
10355
Half Precision Score
11207
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:41 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
896
166.7 IPS |
|
|
Image Classification (HP)
|
100% |
4778
888.6 IPS |
|
|
Image Classification (Q)
|
99% |
4991
931.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
607
9.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
3757
60.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
3994
64.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5568
6.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
64648
75.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
66514
78.0 IPS |
|
|
Object Detection (SP)
|
100% |
959
76.1 IPS |
|
|
Object Detection (HP)
|
99% |
4733
376.5 IPS |
|
|
Object Detection (Q)
|
93% |
6397
510.4 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
9943
118.1 IPS |
|
|
Face Detection (Q)
|
100% |
11871
141.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3202
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35782
275.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
36563
282.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9667
12.4 IPS |
|
|
Style Transfer (HP)
|
100% |
98461
126.6 IPS |
|
|
Style Transfer (Q)
|
100% |
103867
133.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2888
106.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13173
486.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
14690
544.3 IPS |
|
|
Text Classification (SP)
|
100% |
999
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (Q)
|
93% |
2591
3.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2129
36.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2149
37.1 IPS |
