iPhone 13 mini
Geekbench AI Score
3143
Single Precision Score
5521
Half Precision Score
4457
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ajsolomon |
| Upload Date | May 27 2025 03:02 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1297
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
2350
437.0 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1919
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2361
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5872
6.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
13201
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11170
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1362
108.0 IPS |
|
|
Object Detection (HP)
|
97% |
2603
207.2 IPS |
|
|
Object Detection (Q)
|
94% |
1822
145.3 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
5327
63.3 IPS |
|
|
Face Detection (Q)
|
100% |
2938
34.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5108
39.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10221
79.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7069
55.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16348
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
26359
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21687
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4762
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3546
130.9 IPS |
|
|
Text Classification (SP)
|
100% |
2453
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
4204
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4157
5.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3578
61.6 IPS |
|
|
Machine Translation (HP)
|
98% |
5915
102.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5974
103.2 IPS |
