iPhone 13 mini
Geekbench AI Score
3011
Single Precision Score
3152
Half Precision Score
3293
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | AsherTheTechKid |
| Upload Date | March 02 2026 11:56 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1086
202.0 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (Q)
|
94% |
939
175.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2325
37.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2249
36.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9322
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
10348
12.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
9989
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1092
86.6 IPS |
|
|
Object Detection (HP)
|
100% |
1095
86.8 IPS |
|
|
Object Detection (Q)
|
91% |
1098
87.7 IPS |
|
|
Face Detection (SP)
|
100% |
3463
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3866
45.9 IPS |
|
|
Face Detection (Q)
|
100% |
4861
57.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6567
50.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
6717
51.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7500
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16725
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19837
25.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18973
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2782
102.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2976
109.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2627
97.0 IPS |
|
|
Text Classification (SP)
|
100% |
2568
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4228
5.64 KIPS |
|
|
Text Classification (Q)
|
93% |
4239
5.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1102
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
842
14.5 IPS |
