iPhone 13 mini
Geekbench AI Score
3168
Single Precision Score
20092
Half Precision Score
23049
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | anthonya1 |
| Upload Date | August 26 2025 04:33 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1352
251.5 IPS |
|
|
Image Classification (HP)
|
100% |
9051
1.68 KIPS |
|
|
Image Classification (Q)
|
96% |
10157
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13372
216.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
15437
250.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5740
6.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
88284
103.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
93700
109.8 IPS |
|
|
Object Detection (SP)
|
100% |
1387
110.0 IPS |
|
|
Object Detection (HP)
|
99% |
11062
879.9 IPS |
|
|
Object Detection (Q)
|
91% |
11474
916.8 IPS |
|
|
Face Detection (SP)
|
100% |
2704
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
22003
261.4 IPS |
|
|
Face Detection (Q)
|
100% |
36399
432.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5137
39.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
56974
438.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
82338
643.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16288
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
162947
209.5 IPS |
|
|
Style Transfer (Q)
|
96% |
162670
209.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3644
134.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28117
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28642
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2452
3.27 KIPS |
|
|
Text Classification (HP)
|
100% |
2470
3.30 KIPS |
|
|
Text Classification (Q)
|
93% |
2434
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6396
110.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7387
127.7 IPS |
