iPhone 13 mini
Geekbench AI Score
3205
Single Precision Score
20869
Half Precision Score
23271
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 12:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1291
240.2 IPS |
|
|
Image Classification (HP)
|
100% |
8825
1.64 KIPS |
|
|
Image Classification (Q)
|
96% |
11321
2.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1296
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13202
214.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15573
252.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6147
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
93635
109.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
96241
112.8 IPS |
|
|
Object Detection (SP)
|
100% |
1402
111.2 IPS |
|
|
Object Detection (HP)
|
99% |
10750
855.2 IPS |
|
|
Object Detection (Q)
|
91% |
12046
962.5 IPS |
|
|
Face Detection (SP)
|
100% |
2734
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
28637
340.3 IPS |
|
|
Face Detection (Q)
|
100% |
35948
427.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5195
40.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58935
454.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
73038
570.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16863
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
164983
212.1 IPS |
|
|
Style Transfer (Q)
|
96% |
171901
221.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3752
138.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29892
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30762
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
2431
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (Q)
|
93% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
3636
62.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6533
112.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7303
126.2 IPS |
