iPad mini (6th generation)
Geekbench AI Score
3147
Single Precision Score
19254
Half Precision Score
21462
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | kairos |
| Upload Date | March 27 2025 02:22 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
1295
240.7 IPS |
|
|
Image Classification (HP)
|
100% |
8320
1.55 KIPS |
|
|
Image Classification (Q)
|
96% |
10367
1.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11694
189.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
12733
206.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5999
7.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
76944
89.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
80820
94.7 IPS |
|
|
Object Detection (SP)
|
100% |
1394
110.6 IPS |
|
|
Object Detection (HP)
|
99% |
11066
880.3 IPS |
|
|
Object Detection (Q)
|
91% |
11658
931.5 IPS |
|
|
Face Detection (SP)
|
100% |
2617
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
23874
283.7 IPS |
|
|
Face Detection (Q)
|
100% |
30917
367.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5213
40.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
54531
420.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
72452
566.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16836
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
152078
195.5 IPS |
|
|
Style Transfer (Q)
|
96% |
140636
181.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3815
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27168
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
29051
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2475
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2530
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3341
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6350
109.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7203
124.5 IPS |
