iPhone 13 Pro
Geekbench AI Score
3782
Single Precision Score
4265
Half Precision Score
3681
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | rc335 |
| Upload Date | October 20 2024 02:42 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1673
311.1 IPS |
|
|
Image Classification (HP)
|
100% |
1565
291.1 IPS |
|
|
Image Classification (Q)
|
97% |
1348
251.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2304
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2466
40.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2482
40.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11266
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
12263
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11104
13.0 IPS |
|
|
Object Detection (SP)
|
100% |
1942
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
2041
161.9 IPS |
|
|
Object Detection (Q)
|
91% |
1572
125.6 IPS |
|
|
Face Detection (SP)
|
100% |
4581
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
6042
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
4066
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8477
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8993
69.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7001
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18866
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23357
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
21727
28.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4955
183.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3937
145.4 IPS |
|
|
Text Classification (SP)
|
100% |
2438
3.25 KIPS |
|
|
Text Classification (HP)
|
100% |
4031
5.38 KIPS |
|
|
Text Classification (Q)
|
93% |
4045
5.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
795
13.7 IPS |
