iPhone 15 Pro
Geekbench AI Score
5027
Single Precision Score
5812
Half Precision Score
5211
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | September 20 2024 06:39 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
1756
326.6 IPS |
|
|
Image Classification (Q)
|
97% |
1791
334.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3112
50.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3897
63.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4002
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15134
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
15890
18.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14478
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2587
205.2 IPS |
|
|
Object Detection (HP)
|
100% |
2809
222.8 IPS |
|
|
Object Detection (Q)
|
91% |
2277
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
6353
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
8820
104.8 IPS |
|
|
Face Detection (Q)
|
100% |
6443
76.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11932
91.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12984
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
10397
81.3 IPS |
|
|
Style Transfer (SP)
|
100% |
29954
38.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35676
45.9 IPS |
|
|
Style Transfer (Q)
|
96% |
32779
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6423
237.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6832
252.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5358
197.8 IPS |
|
|
Text Classification (SP)
|
100% |
3190
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5476
7.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5460
7.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
906
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
98% |
973
16.8 IPS |
