iPhone 13 mini
Geekbench AI Score
2988
Single Precision Score
4444
Half Precision Score
3613
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Auhim |
| Upload Date | August 15 2024 09:00 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (HP)
|
100% |
1781
331.3 IPS |
|
|
Image Classification (Q)
|
99% |
1780
332.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1184
19.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
1132
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5726
6.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
13347
15.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
11157
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1389
110.1 IPS |
|
|
Object Detection (HP)
|
97% |
2082
165.7 IPS |
|
|
Object Detection (Q)
|
94% |
1589
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2377
28.2 IPS |
|
|
Face Detection (HP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (Q)
|
100% |
2503
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4611
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
7762
60.0 IPS |
|
|
Depth Estimation (Q)
|
96% |
3640
28.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15883
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
24399
31.4 IPS |
|
|
Style Transfer (Q)
|
100% |
24538
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3469
128.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4819
177.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3415
126.5 IPS |
|
|
Text Classification (SP)
|
100% |
2384
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3431
4.58 KIPS |
|
|
Text Classification (Q)
|
93% |
3396
4.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
2965
51.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4295
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4095
70.8 IPS |
