iPhone 13 mini
Geekbench AI Score
3176
Single Precision Score
5727
Half Precision Score
4669
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:29 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1272
236.5 IPS |
|
|
Image Classification (HP)
|
100% |
2402
446.7 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1302
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2479
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6101
7.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
14321
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12059
14.1 IPS |
|
|
Object Detection (SP)
|
100% |
1338
106.1 IPS |
|
|
Object Detection (HP)
|
97% |
2703
215.2 IPS |
|
|
Object Detection (Q)
|
94% |
1925
153.5 IPS |
|
|
Face Detection (SP)
|
100% |
2745
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
5597
66.5 IPS |
|
|
Face Detection (Q)
|
100% |
3163
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5217
40.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
10579
81.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7442
58.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16909
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26670
34.3 IPS |
|
|
Style Transfer (Q)
|
96% |
21718
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3600
132.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4775
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3667
135.4 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4143
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4113
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
3451
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
6597
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6670
115.3 IPS |
