iPhone 13 Pro
Geekbench AI Score
3151
Single Precision Score
20942
Half Precision Score
22988
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 13 Pro |
| Model ID | iPhone14,2 |
| Motherboard | D63AP |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1344
249.9 IPS |
|
|
Image Classification (HP)
|
100% |
9267
1.72 KIPS |
|
|
Image Classification (Q)
|
96% |
9612
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1159
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
12982
210.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15019
243.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5816
6.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
94847
110.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
93930
110.1 IPS |
|
|
Object Detection (SP)
|
100% |
1393
110.5 IPS |
|
|
Object Detection (HP)
|
99% |
11180
889.4 IPS |
|
|
Object Detection (Q)
|
91% |
11839
946.0 IPS |
|
|
Face Detection (SP)
|
100% |
2645
31.4 IPS |
|
|
Face Detection (HP)
|
100% |
28330
336.6 IPS |
|
|
Face Detection (Q)
|
100% |
37185
441.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5269
40.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
58073
447.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
74939
585.6 IPS |
|
|
Style Transfer (SP)
|
100% |
16435
21.1 IPS |
|
|
Style Transfer (HP)
|
100% |
169865
218.4 IPS |
|
|
Style Transfer (Q)
|
96% |
165821
214.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27494
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30198
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
2446
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
2561
3.42 KIPS |
|
|
Text Classification (Q)
|
93% |
2532
3.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3557
61.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6464
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7267
125.6 IPS |
