iPhone 13 mini
Geekbench AI Score
2877
Single Precision Score
4353
Half Precision Score
3562
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | oguogu |
| Upload Date | August 23 2024 02:18 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1411
262.4 IPS |
|
|
Image Classification (HP)
|
100% |
1760
327.3 IPS |
|
|
Image Classification (Q)
|
99% |
1763
328.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1135
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1090
17.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
1089
17.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5305
6.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
12746
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
10688
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (HP)
|
97% |
2059
163.9 IPS |
|
|
Object Detection (Q)
|
94% |
1559
124.2 IPS |
|
|
Face Detection (SP)
|
100% |
2339
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
3803
45.2 IPS |
|
|
Face Detection (Q)
|
100% |
2417
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4560
35.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
7644
59.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
3429
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15356
19.7 IPS |
|
|
Style Transfer (HP)
|
100% |
24047
30.9 IPS |
|
|
Style Transfer (Q)
|
100% |
24029
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3304
122.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4436
163.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3302
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
2330
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3791
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3790
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2568
44.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4136
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4131
71.4 IPS |
