iPhone 13 Pro
Geekbench AI Score
3219
Single Precision Score
5591
Half Precision Score
4517
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 10 2024 10:57 PM |
| Views | 2 |
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% |
1372
255.2 IPS |
|
|
Image Classification (HP)
|
100% |
2370
440.7 IPS |
|
|
Image Classification (Q)
|
96% |
1634
305.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1320
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1981
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2426
39.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6156
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
13511
15.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11366
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (HP)
|
97% |
2686
213.9 IPS |
|
|
Object Detection (Q)
|
94% |
1890
150.6 IPS |
|
|
Face Detection (SP)
|
100% |
2663
31.6 IPS |
|
|
Face Detection (HP)
|
100% |
5498
65.3 IPS |
|
|
Face Detection (Q)
|
100% |
3072
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5335
41.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10920
84.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
7476
58.4 IPS |
|
|
Style Transfer (SP)
|
100% |
16763
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26607
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22053
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3928
145.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4725
174.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3530
130.3 IPS |
|
|
Text Classification (SP)
|
100% |
2423
3.23 KIPS |
|
|
Text Classification (HP)
|
100% |
4090
5.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4063
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
5676
98.1 IPS |
|
|
Machine Translation (Q)
|
98% |
5719
98.8 IPS |
