iPhone 13 Pro
Geekbench AI Score
3022
Single Precision Score
4500
Half Precision Score
3869
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | marcelo10igner |
| Upload Date | September 07 2024 12:14 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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% |
1419
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
1762
327.6 IPS |
|
|
Image Classification (Q)
|
96% |
1348
251.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1674
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5918
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
13755
16.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11710
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1457
115.5 IPS |
|
|
Object Detection (HP)
|
97% |
2144
170.7 IPS |
|
|
Object Detection (Q)
|
94% |
1622
129.3 IPS |
|
|
Face Detection (SP)
|
100% |
2402
28.5 IPS |
|
|
Face Detection (HP)
|
100% |
4035
47.9 IPS |
|
|
Face Detection (Q)
|
100% |
2603
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4871
37.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8039
62.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
6062
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16329
21.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25445
32.7 IPS |
|
|
Style Transfer (Q)
|
96% |
21319
27.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3528
130.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4630
171.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3476
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
2379
3.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (Q)
|
93% |
3421
4.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2820
48.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4425
76.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4388
75.8 IPS |
