iPhone 13 mini
Geekbench AI Score
2509
Single Precision Score
2759
Half Precision Score
2487
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | 3zcurdia |
| Upload Date | November 20 2024 05:10 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
591
109.9 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.6 IPS |
|
|
Image Classification (Q)
|
97% |
716
133.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1837
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1940
31.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9292
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10006
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9295
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1080
85.7 IPS |
|
|
Object Detection (HP)
|
100% |
995
78.9 IPS |
|
|
Object Detection (Q)
|
91% |
754
60.3 IPS |
|
|
Face Detection (SP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
4713
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
3003
35.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6461
49.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
6679
51.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6054
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16647
21.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19060
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18010
23.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2850
105.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2848
105.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2334
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
2413
3.22 KIPS |
|
|
Text Classification (HP)
|
100% |
4100
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4071
5.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
98% |
300
5.19 IPS |
