iPhone 13 mini
Geekbench AI Score
3147
Single Precision Score
20518
Half Precision Score
23399
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | September 12 2025 10:20 AM |
| Views | 6 |
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% |
1349
251.0 IPS |
|
|
Image Classification (HP)
|
100% |
9196
1.71 KIPS |
|
|
Image Classification (Q)
|
96% |
10600
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12951
210.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
15403
249.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5803
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
88552
103.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
96570
113.2 IPS |
|
|
Object Detection (SP)
|
100% |
1364
108.2 IPS |
|
|
Object Detection (HP)
|
99% |
11212
891.9 IPS |
|
|
Object Detection (Q)
|
91% |
12676
1.01 KIPS |
|
|
Face Detection (SP)
|
100% |
2708
32.2 IPS |
|
|
Face Detection (HP)
|
100% |
29246
347.5 IPS |
|
|
Face Detection (Q)
|
100% |
36152
429.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5011
38.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58644
451.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
74500
582.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15979
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
151183
194.3 IPS |
|
|
Style Transfer (Q)
|
96% |
154239
199.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3683
136.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25971
959.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30370
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2474
3.30 KIPS |
|
|
Text Classification (HP)
|
100% |
2524
3.37 KIPS |
|
|
Text Classification (Q)
|
93% |
2540
3.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3462
59.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6581
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7684
132.8 IPS |
