iPhone 13 mini
Geekbench AI Score
3194
Single Precision Score
18366
Half Precision Score
20876
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 02 2026 10:14 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1268
235.9 IPS |
|
|
Image Classification (HP)
|
100% |
7004
1.30 KIPS |
|
|
Image Classification (Q)
|
96% |
9209
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1295
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13582
220.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
15700
254.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6050
7.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
77576
90.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
82969
97.2 IPS |
|
|
Object Detection (SP)
|
100% |
1346
106.8 IPS |
|
|
Object Detection (HP)
|
99% |
10482
833.8 IPS |
|
|
Object Detection (Q)
|
91% |
12182
973.4 IPS |
|
|
Face Detection (SP)
|
100% |
2766
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
28392
337.4 IPS |
|
|
Face Detection (Q)
|
100% |
36359
432.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5289
40.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
50703
390.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
62587
489.1 IPS |
|
|
Style Transfer (SP)
|
100% |
17461
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
142505
183.2 IPS |
|
|
Style Transfer (Q)
|
96% |
141487
182.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3609
133.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28928
1.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27939
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1536
2.05 KIPS |
|
|
Text Classification (Q)
|
93% |
1679
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6196
106.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7126
123.1 IPS |
