iPhone 13 mini
Geekbench AI Score
3291
Single Precision Score
5695
Half Precision Score
4576
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | ederpeter |
| Upload Date | September 25 2024 09:20 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1359
252.7 IPS |
|
|
Image Classification (HP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1353
21.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2487
40.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6387
7.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
14074
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11848
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1427
113.2 IPS |
|
|
Object Detection (HP)
|
97% |
2751
219.0 IPS |
|
|
Object Detection (Q)
|
94% |
1934
154.2 IPS |
|
|
Face Detection (SP)
|
100% |
2798
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
5707
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3124
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5475
42.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11153
86.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7608
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17536
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27006
34.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22123
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3927
145.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4802
177.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.5 IPS |
|
|
Text Classification (SP)
|
100% |
2444
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
4149
5.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4123
5.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5685
98.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5696
98.4 IPS |
