iPhone 13 mini
Geekbench AI Score
1921
Single Precision Score
10580
Half Precision Score
11929
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | croissantdeepimpact |
| Upload Date | June 18 2025 03:00 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.7.2 |
| 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% |
936
174.0 IPS |
|
|
Image Classification (HP)
|
100% |
4306
800.8 IPS |
|
|
Image Classification (Q)
|
96% |
4895
914.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3768
61.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
5937
96.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5493
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
71079
82.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
76323
89.5 IPS |
|
|
Object Detection (SP)
|
100% |
990
78.5 IPS |
|
|
Object Detection (HP)
|
99% |
5360
426.4 IPS |
|
|
Object Detection (Q)
|
93% |
6699
534.5 IPS |
|
|
Face Detection (SP)
|
100% |
1678
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
10321
122.6 IPS |
|
|
Face Detection (Q)
|
100% |
12069
143.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3231
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35147
270.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
43969
343.6 IPS |
|
|
Style Transfer (SP)
|
100% |
9498
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
98704
126.9 IPS |
|
|
Style Transfer (Q)
|
95% |
81660
105.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2903
107.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13367
493.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15422
569.5 IPS |
|
|
Text Classification (SP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (HP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2812
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1354
23.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2089
36.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2091
36.1 IPS |
