iPhone 13 mini
Geekbench AI Score
2258
Single Precision Score
2339
Half Precision Score
1965
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Jloloew |
| Upload Date | August 16 2024 02:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.55 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
922
171.4 IPS |
|
|
Image Classification (HP)
|
100% |
994
184.8 IPS |
|
|
Image Classification (Q)
|
99% |
510
95.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1935
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1779
28.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1955
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9092
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9900
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
8928
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
947
75.1 IPS |
|
|
Object Detection (HP)
|
100% |
821
65.1 IPS |
|
|
Object Detection (Q)
|
92% |
751
59.9 IPS |
|
|
Face Detection (SP)
|
100% |
3991
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
4836
57.5 IPS |
|
|
Face Detection (Q)
|
100% |
3076
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6090
46.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
6617
51.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
7933
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16379
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18910
24.3 IPS |
|
|
Style Transfer (Q)
|
100% |
18674
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2817
104.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2277
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
367
490.3 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.3 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.6 IPS |
|
|
Machine Translation (SP)
|
100% |
545
9.39 IPS |
|
|
Machine Translation (HP)
|
100% |
562
9.68 IPS |
|
|
Machine Translation (Q)
|
98% |
612
10.6 IPS |
