iPad mini (6th generation)
Geekbench AI Score
3184
Single Precision Score
5464
Half Precision Score
4433
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 03:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| Model | iPad mini (6th generation) |
| Model ID | iPad14,2 |
| Motherboard | J311AP |
| 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% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
2256
419.5 IPS |
|
|
Image Classification (Q)
|
96% |
1550
289.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2347
38.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6242
7.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
13314
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11641
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
97% |
2623
208.8 IPS |
|
|
Object Detection (Q)
|
94% |
1850
147.5 IPS |
|
|
Face Detection (SP)
|
100% |
2640
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5478
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3073
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5311
40.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
10748
83.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7338
57.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16910
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26149
33.6 IPS |
|
|
Style Transfer (Q)
|
96% |
21476
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3847
142.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4435
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3400
125.5 IPS |
|
|
Text Classification (SP)
|
100% |
2433
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4179
5.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3325
57.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5468
94.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5445
94.1 IPS |
