iPhone 13 mini
Geekbench AI Score
1868
Single Precision Score
11368
Half Precision Score
12025
Quantized Score
Geekbench AI 1.0.0 Corporate for iOS AArch64
Result Information
| Upload Date | August 15 2024 03:50 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
932
173.2 IPS |
|
|
Image Classification (HP)
|
100% |
5415
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
5915
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3825
62.0 IPS |
|
|
Image Segmentation (Q)
|
100% |
3922
63.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5456
6.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
72979
85.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
62634
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
939
74.5 IPS |
|
|
Object Detection (HP)
|
99% |
6483
515.7 IPS |
|
|
Object Detection (Q)
|
93% |
7693
613.9 IPS |
|
|
Face Detection (SP)
|
100% |
1609
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
10564
125.5 IPS |
|
|
Face Detection (Q)
|
100% |
12657
150.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3110
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
38596
297.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
44264
342.3 IPS |
|
|
Style Transfer (SP)
|
100% |
9307
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
118260
152.0 IPS |
|
|
Style Transfer (Q)
|
100% |
116277
149.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14885
549.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17064
632.2 IPS |
|
|
Text Classification (SP)
|
100% |
994
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
2546
3.40 KIPS |
|
|
Text Classification (Q)
|
93% |
2533
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1374
23.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2013
34.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2010
34.7 IPS |
