iPhone 13
Geekbench AI Score
3118
Single Precision Score
5704
Half Precision Score
4631
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 12:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone 13 |
| Model ID | iPhone14,5 |
| Motherboard | D17AP |
| 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 | 3.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
2417
449.4 IPS |
|
|
Image Classification (Q)
|
96% |
1668
311.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1287
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1965
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2458
39.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5919
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
14055
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11697
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1325
105.1 IPS |
|
|
Object Detection (HP)
|
97% |
2709
215.7 IPS |
|
|
Object Detection (Q)
|
94% |
1923
153.3 IPS |
|
|
Face Detection (SP)
|
100% |
2639
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
5502
65.4 IPS |
|
|
Face Detection (Q)
|
100% |
3126
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5063
39.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
10547
81.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
7380
57.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16413
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
26730
34.4 IPS |
|
|
Style Transfer (Q)
|
96% |
21851
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3580
132.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4771
176.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3624
133.8 IPS |
|
|
Text Classification (SP)
|
100% |
2564
3.42 KIPS |
|
|
Text Classification (HP)
|
99% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4138
5.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6607
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6509
112.5 IPS |
