iPhone 13 mini
Geekbench AI Score
2577
Single Precision Score
2745
Half Precision Score
2811
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 10:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
554
102.9 IPS |
|
|
Image Classification (HP)
|
100% |
551
102.5 IPS |
|
|
Image Classification (Q)
|
96% |
979
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2308
37.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2305
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2285
37.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9326
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10316
12.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
9429
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
978
77.6 IPS |
|
|
Object Detection (HP)
|
100% |
1015
80.5 IPS |
|
|
Object Detection (Q)
|
92% |
771
61.6 IPS |
|
|
Face Detection (SP)
|
100% |
3573
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (Q)
|
100% |
3050
36.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5692
43.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
5308
40.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
5507
43.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12967
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8796
11.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12009
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2406
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3003
110.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2612
96.5 IPS |
|
|
Text Classification (SP)
|
100% |
2467
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4207
5.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4188
5.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
859
14.8 IPS |
