iPhone 13 mini
Geekbench AI Score
2538
Single Precision Score
2818
Half Precision Score
2477
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mojay0103 |
| Upload Date | July 10 2025 10:36 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
716
133.2 IPS |
|
|
Image Classification (Q)
|
97% |
634
118.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2082
33.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2078
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9275
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
10060
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9347
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1016
80.6 IPS |
|
|
Object Detection (HP)
|
100% |
822
65.2 IPS |
|
|
Object Detection (Q)
|
91% |
694
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
4346
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
4964
59.0 IPS |
|
|
Face Detection (Q)
|
100% |
3104
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6762
52.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
6534
50.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6149
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16580
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19299
24.8 IPS |
|
|
Style Transfer (Q)
|
96% |
17746
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2964
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2732
100.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2272
83.9 IPS |
|
|
Text Classification (SP)
|
100% |
2434
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4180
5.58 KIPS |
|
|
Text Classification (Q)
|
93% |
4168
5.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (HP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (Q)
|
98% |
318
5.50 IPS |
