iPhone 13 mini
Geekbench AI Score
2954
Single Precision Score
4432
Half Precision Score
3787
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 18 2025 02:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
1421
264.3 IPS |
|
|
Image Classification (HP)
|
100% |
1764
328.0 IPS |
|
|
Image Classification (Q)
|
96% |
1353
252.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1163
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1690
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5708
6.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
13250
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11217
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1451
115.1 IPS |
|
|
Object Detection (HP)
|
97% |
2119
168.7 IPS |
|
|
Object Detection (Q)
|
94% |
1615
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
2428
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
3936
46.8 IPS |
|
|
Face Detection (Q)
|
100% |
2520
29.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4730
36.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
7916
61.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5853
45.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15917
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
24983
32.1 IPS |
|
|
Style Transfer (Q)
|
96% |
20679
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3442
127.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3404
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
2362
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3386
4.52 KIPS |
|
|
Text Classification (Q)
|
93% |
3346
4.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
2494
43.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4237
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4220
72.9 IPS |
