iPhone 13 mini
Geekbench AI Score
2087
Single Precision Score
2485
Half Precision Score
816
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Jloloew |
| Upload Date | September 07 2024 05:05 AM |
| Views | 7 |
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% |
500
93.0 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.1 IPS |
|
|
Image Classification (Q)
|
97% |
568
105.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1891
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1835
29.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9097
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10192
11.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
9060
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
864
68.5 IPS |
|
|
Object Detection (HP)
|
100% |
1096
86.9 IPS |
|
|
Object Detection (Q)
|
92% |
654
52.2 IPS |
|
|
Face Detection (SP)
|
100% |
4026
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
5023
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
3401
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5865
45.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8077
62.2 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
48.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16220
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
19079
24.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17319
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2862
105.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2945
108.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2534
93.6 IPS |
|
|
Text Classification (SP)
|
100% |
370
494.5 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.3 IPS |
|
|
Text Classification (Q)
|
93% |
206
276.5 IPS |
|
|
Machine Translation (SP)
|
100% |
522
9.00 IPS |
|
|
Machine Translation (HP)
|
100% |
578
9.96 IPS |
|
|
Machine Translation (Q)
|
98% |
697
12.0 IPS |
