iPhone 13 Pro
Geekbench AI Score
3028
Single Precision Score
4568
Half Precision Score
3793
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Petenka315 |
| Upload Date | August 17 2024 02:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1416
263.4 IPS |
|
|
Image Classification (HP)
|
100% |
1756
326.5 IPS |
|
|
Image Classification (Q)
|
99% |
1772
330.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1133
18.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1133
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5946
6.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
13812
16.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
11800
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
1476
117.1 IPS |
|
|
Object Detection (HP)
|
97% |
2122
168.9 IPS |
|
|
Object Detection (Q)
|
94% |
1633
130.1 IPS |
|
|
Face Detection (SP)
|
100% |
2446
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4086
48.6 IPS |
|
|
Face Detection (Q)
|
100% |
2635
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5021
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8126
62.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4115
31.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16519
21.2 IPS |
|
|
Style Transfer (HP)
|
100% |
25657
33.0 IPS |
|
|
Style Transfer (Q)
|
100% |
25608
32.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3558
131.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4696
173.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3458
128.1 IPS |
|
|
Text Classification (SP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (HP)
|
100% |
3876
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3823
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2684
46.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4377
75.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4349
75.2 IPS |
