iPhone 13 mini
Geekbench AI Score
2904
Single Precision Score
5438
Half Precision Score
4513
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 06:23 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
2305
428.7 IPS |
|
|
Image Classification (Q)
|
96% |
1605
299.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1095
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1706
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2362
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5016
5.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
11258
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9976
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1197
94.9 IPS |
|
|
Object Detection (HP)
|
97% |
2578
205.2 IPS |
|
|
Object Detection (Q)
|
94% |
1860
148.2 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5491
65.2 IPS |
|
|
Face Detection (Q)
|
100% |
3145
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5008
38.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10343
79.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7321
57.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15426
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26637
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22114
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3125
115.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4740
175.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3645
134.6 IPS |
|
|
Text Classification (SP)
|
100% |
2543
3.39 KIPS |
|
|
Text Classification (HP)
|
99% |
4197
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4147
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3289
56.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6595
114.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6475
111.9 IPS |
