iPhone 13 Pro
Geekbench AI Score
3262
Single Precision Score
5640
Half Precision Score
4896
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Radek27 |
| Upload Date | August 19 2024 03:51 PM |
| Views | 4 |
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% |
1350
251.1 IPS |
|
|
Image Classification (HP)
|
100% |
2331
433.4 IPS |
|
|
Image Classification (Q)
|
99% |
2325
433.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1996
32.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1992
32.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6482
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14030
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
11890
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
1448
114.8 IPS |
|
|
Object Detection (HP)
|
97% |
2716
216.2 IPS |
|
|
Object Detection (Q)
|
94% |
1928
153.7 IPS |
|
|
Face Detection (SP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (HP)
|
100% |
5703
67.8 IPS |
|
|
Face Detection (Q)
|
100% |
3182
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5467
42.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11081
85.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
11032
85.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17717
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26776
34.4 IPS |
|
|
Style Transfer (Q)
|
100% |
26707
34.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3875
143.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4607
170.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3405
126.2 IPS |
|
|
Text Classification (SP)
|
100% |
2399
3.20 KIPS |
|
|
Text Classification (HP)
|
100% |
4099
5.47 KIPS |
|
|
Text Classification (Q)
|
93% |
4087
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3388
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
5757
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5723
98.9 IPS |
