iPhone 13 mini
Geekbench AI Score
2128
Single Precision Score
2393
Half Precision Score
2195
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | fiwswe |
| Upload Date | August 16 2024 10:01 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% |
580
107.8 IPS |
|
|
Image Classification (HP)
|
100% |
911
169.4 IPS |
|
|
Image Classification (Q)
|
99% |
545
101.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1885
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1950
31.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9127
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
9910
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
8935
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
819
64.9 IPS |
|
|
Object Detection (HP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (Q)
|
92% |
1275
101.8 IPS |
|
|
Face Detection (SP)
|
100% |
4036
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6240
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6631
51.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
7771
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16396
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
18897
24.3 IPS |
|
|
Style Transfer (Q)
|
100% |
18679
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2587
95.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3424
126.8 IPS |
|
|
Text Classification (SP)
|
100% |
359
479.7 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.3 IPS |
|
|
Text Classification (Q)
|
93% |
203
272.1 IPS |
|
|
Machine Translation (SP)
|
100% |
575
9.90 IPS |
|
|
Machine Translation (HP)
|
100% |
627
10.8 IPS |
|
|
Machine Translation (Q)
|
98% |
670
11.6 IPS |
