iPhone 15 Pro
Geekbench AI Score
4025
Single Precision Score
6912
Half Precision Score
5656
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | funskeen |
| Upload Date | December 08 2024 07:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
321.9 IPS |
|
|
Image Classification (HP)
|
100% |
2926
544.2 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1639
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2422
39.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3092
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8364
9.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
16899
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14660
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1807
143.3 IPS |
|
|
Object Detection (HP)
|
97% |
3365
267.9 IPS |
|
|
Object Detection (Q)
|
94% |
2361
188.2 IPS |
|
|
Face Detection (SP)
|
100% |
3256
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6871
81.6 IPS |
|
|
Face Detection (Q)
|
100% |
3922
46.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7261
55.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
13584
105.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9390
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21551
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32876
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
27874
36.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5041
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5880
217.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4465
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5595
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5536
7.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6127
105.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6129
105.9 IPS |
