iPhone 13 mini
Geekbench AI Score
3107
Single Precision Score
5667
Half Precision Score
4584
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 02 2026 01:35 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
2411
448.3 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1290
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2434
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5883
6.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
13822
16.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
11882
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1291
102.4 IPS |
|
|
Object Detection (HP)
|
97% |
2671
212.6 IPS |
|
|
Object Detection (Q)
|
94% |
1866
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
2641
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5491
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3086
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5105
39.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
10562
81.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7302
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16556
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26352
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21622
27.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3548
131.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4769
176.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3563
131.6 IPS |
|
|
Text Classification (SP)
|
100% |
2517
3.36 KIPS |
|
|
Text Classification (HP)
|
99% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4087
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3411
58.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6523
112.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6426
111.0 IPS |
