iPhone 13 mini
Geekbench AI Score
3071
Single Precision Score
5558
Half Precision Score
4539
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 03:55 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1267
235.6 IPS |
|
|
Image Classification (HP)
|
100% |
2398
445.9 IPS |
|
|
Image Classification (Q)
|
96% |
1650
308.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1286
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1930
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2401
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5638
6.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
13405
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11375
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1275
101.1 IPS |
|
|
Object Detection (HP)
|
97% |
2571
204.7 IPS |
|
|
Object Detection (Q)
|
94% |
1860
148.3 IPS |
|
|
Face Detection (SP)
|
100% |
2608
31.0 IPS |
|
|
Face Detection (HP)
|
100% |
5293
62.9 IPS |
|
|
Face Detection (Q)
|
100% |
3011
35.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5073
39.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10377
80.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7216
56.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16198
20.8 IPS |
|
|
Style Transfer (HP)
|
100% |
25630
32.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21369
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4628
170.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3553
131.2 IPS |
|
|
Text Classification (SP)
|
100% |
2572
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
4231
5.65 KIPS |
|
|
Text Classification (Q)
|
93% |
4212
5.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
3348
57.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6409
110.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6380
110.2 IPS |
