iPad mini (6th generation)
Geekbench AI Score
3184
Single Precision Score
15621
Half Precision Score
17594
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Helwar |
| Upload Date | September 28 2024 06:23 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1314
244.4 IPS |
|
|
Image Classification (HP)
|
100% |
8792
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
10425
1.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1283
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6458
104.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
6891
111.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6140
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
76887
89.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
80885
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
1404
111.3 IPS |
|
|
Object Detection (HP)
|
99% |
10460
832.1 IPS |
|
|
Object Detection (Q)
|
91% |
11952
955.0 IPS |
|
|
Face Detection (SP)
|
100% |
2657
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
21469
255.1 IPS |
|
|
Face Detection (Q)
|
100% |
30233
359.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5323
41.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
54529
420.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
69392
542.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16903
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
146933
188.9 IPS |
|
|
Style Transfer (Q)
|
96% |
140221
180.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3854
142.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26192
967.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
29132
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
2390
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2393
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
3355
57.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1996
34.5 IPS |
