iPhone 15 Pro
Geekbench AI Score
3923
Single Precision Score
6829
Half Precision Score
5585
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Cifra45 |
| Upload Date | December 28 2024 09:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 15 Pro |
| Model ID | iPhone16,1 |
| Motherboard | D83AP |
| CPU Information | |
|---|---|
| Name | Apple A17 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.78 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1682
312.8 IPS |
|
|
Image Classification (HP)
|
100% |
2940
546.7 IPS |
|
|
Image Classification (Q)
|
96% |
2018
376.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1586
25.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2443
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3093
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7843
9.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
16089
18.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
13929
16.3 IPS |
|
|
Object Detection (SP)
|
100% |
1780
141.2 IPS |
|
|
Object Detection (HP)
|
97% |
3353
267.0 IPS |
|
|
Object Detection (Q)
|
94% |
2340
186.5 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
6817
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3872
46.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6928
53.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
13438
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9239
72.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21024
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
31997
41.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27279
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4860
179.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5762
212.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4386
162.0 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5530
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5547
7.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3222
55.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6101
105.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6114
105.7 IPS |
