iPhone 15 Pro
Geekbench AI Score
3884
Single Precision Score
6755
Half Precision Score
5911
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | Deferare |
| Upload Date | August 18 2024 12:31 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1699
316.0 IPS |
|
|
Image Classification (HP)
|
100% |
2932
545.3 IPS |
|
|
Image Classification (Q)
|
99% |
2920
544.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1647
26.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2410
39.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2389
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8244
9.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
16471
19.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
14221
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1772
140.5 IPS |
|
|
Object Detection (HP)
|
97% |
3314
263.8 IPS |
|
|
Object Detection (Q)
|
94% |
2313
184.4 IPS |
|
|
Face Detection (SP)
|
100% |
3062
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
6426
76.4 IPS |
|
|
Face Detection (Q)
|
100% |
3751
44.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6958
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
13409
103.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
13277
102.7 IPS |
|
|
Style Transfer (SP)
|
100% |
20173
25.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31306
40.2 IPS |
|
|
Style Transfer (Q)
|
100% |
30993
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4506
166.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5806
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
4363
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
3193
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5511
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5593
7.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3093
53.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5949
102.8 IPS |
|
|
Machine Translation (Q)
|
98% |
6033
104.3 IPS |
