iPad mini (6th generation)
Geekbench AI Score
3040
Single Precision Score
5421
Half Precision Score
4364
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 02:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1292
240.3 IPS |
|
|
Image Classification (HP)
|
100% |
2247
417.8 IPS |
|
|
Image Classification (Q)
|
96% |
1547
288.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1223
19.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1846
29.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2265
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5641
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
12859
15.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
10751
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1330
105.5 IPS |
|
|
Object Detection (HP)
|
97% |
2548
202.8 IPS |
|
|
Object Detection (Q)
|
94% |
1771
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
5057
60.1 IPS |
|
|
Face Detection (Q)
|
100% |
2868
34.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5026
38.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
10039
77.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6896
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15707
20.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25891
33.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21223
27.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3601
133.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4788
176.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3465
128.0 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4351
5.81 KIPS |
|
|
Text Classification (Q)
|
93% |
4301
5.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3435
59.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5896
101.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6010
103.9 IPS |
