iPhone 13 Pro
Geekbench AI Score
3197
Single Precision Score
5676
Half Precision Score
4622
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 07 2025 10:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
2372
441.1 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1276
20.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1928
31.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2376
38.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6079
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
13411
15.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
11513
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1399
110.9 IPS |
|
|
Object Detection (HP)
|
97% |
2737
217.9 IPS |
|
|
Object Detection (Q)
|
94% |
1948
155.2 IPS |
|
|
Face Detection (SP)
|
100% |
2685
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5638
67.0 IPS |
|
|
Face Detection (Q)
|
100% |
3206
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5270
40.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
10572
81.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7328
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17367
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
27810
35.7 IPS |
|
|
Style Transfer (Q)
|
96% |
22467
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3810
140.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4762
175.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3650
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
2406
3.21 KIPS |
|
|
Text Classification (HP)
|
100% |
4206
5.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4235
5.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3554
61.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6236
107.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6295
108.8 IPS |
