iPhone 13 Pro
Geekbench AI Score
3018
Single Precision Score
5470
Half Precision Score
4426
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 04:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1331
247.4 IPS |
|
|
Image Classification (HP)
|
100% |
2373
441.3 IPS |
|
|
Image Classification (Q)
|
96% |
1643
306.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2417
39.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4034
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
10039
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9041
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.0 IPS |
|
|
Object Detection (HP)
|
97% |
2725
216.9 IPS |
|
|
Object Detection (Q)
|
94% |
1943
154.9 IPS |
|
|
Face Detection (SP)
|
100% |
2683
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
5529
65.7 IPS |
|
|
Face Detection (Q)
|
100% |
3085
36.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5208
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11098
85.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7308
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
15052
19.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26404
33.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21495
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3539
130.7 IPS |
|
|
Text Classification (SP)
|
100% |
2458
3.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4275
5.71 KIPS |
|
|
Text Classification (Q)
|
93% |
4254
5.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3214
55.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5583
96.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5676
98.1 IPS |
