iPhone 13 mini
Geekbench AI Score
3290
Single Precision Score
5667
Half Precision Score
4569
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 08:34 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 13 mini |
| Model ID | iPhone14,4 |
| Motherboard | D16AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1360
252.9 IPS |
|
|
Image Classification (HP)
|
100% |
2380
442.6 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1363
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2058
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2498
40.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6432
7.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
13974
16.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11721
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1452
115.2 IPS |
|
|
Object Detection (HP)
|
97% |
2730
217.3 IPS |
|
|
Object Detection (Q)
|
94% |
1943
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2767
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
5676
67.4 IPS |
|
|
Face Detection (Q)
|
100% |
3193
37.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5452
42.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11110
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7649
59.8 IPS |
|
|
Style Transfer (SP)
|
100% |
17627
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26734
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
22350
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3894
143.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4757
175.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3430
126.7 IPS |
|
|
Text Classification (SP)
|
100% |
2380
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
4050
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4028
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3489
60.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5630
97.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5626
97.2 IPS |
