iPhone 15 Pro
Geekbench AI Score
3530
Single Precision Score
5303
Half Precision Score
4407
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | mexa |
| Upload Date | August 26 2024 05:03 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1684
313.2 IPS |
|
|
Image Classification (HP)
|
100% |
2197
408.6 IPS |
|
|
Image Classification (Q)
|
99% |
2188
408.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
1307
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6886
8.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
14752
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12651
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1640
130.1 IPS |
|
|
Object Detection (HP)
|
97% |
2513
200.1 IPS |
|
|
Object Detection (Q)
|
94% |
1878
149.7 IPS |
|
|
Face Detection (SP)
|
100% |
2774
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
4767
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
3017
35.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5686
43.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
9222
71.3 IPS |
|
|
Depth Estimation (Q)
|
96% |
4759
36.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18811
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28892
37.1 IPS |
|
|
Style Transfer (Q)
|
100% |
28977
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4281
158.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5643
208.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4230
156.7 IPS |
|
|
Text Classification (SP)
|
100% |
3098
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
5117
6.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5125
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2869
49.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4493
77.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4516
78.0 IPS |
