iPhone 13 mini
Geekbench AI Score
1596
Single Precision Score
2771
Half Precision Score
2174
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 09:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1303
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2396
445.6 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1216
19.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2241
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1477
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2038
2.38 IPS |
|
|
Pose Estimation (Q)
|
95% |
1866
2.19 IPS |
|
|
Object Detection (SP)
|
100% |
502
39.8 IPS |
|
|
Object Detection (HP)
|
97% |
1265
100.7 IPS |
|
|
Object Detection (Q)
|
94% |
980
78.1 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
2195
26.1 IPS |
|
|
Face Detection (Q)
|
100% |
1659
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2683
20.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5099
39.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
2664
20.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5594
7.19 IPS |
|
|
Style Transfer (HP)
|
100% |
10397
13.4 IPS |
|
|
Style Transfer (Q)
|
96% |
7920
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1240
45.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2524
93.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1454
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
1332
1.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (Q)
|
93% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
2300
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3444
59.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2770
47.9 IPS |
