iPhone 15 Pro
Geekbench AI Score
4044
Single Precision Score
23766
Half Precision Score
32847
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Crow-fusion |
| Upload Date | October 03 2024 01:33 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
11327
2.11 KIPS |
|
|
Image Classification (Q)
|
97% |
14604
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
15804
256.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
20688
335.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8334
9.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
107215
125.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
204858
240.1 IPS |
|
|
Object Detection (SP)
|
100% |
1817
144.1 IPS |
|
|
Object Detection (HP)
|
100% |
13754
1.09 KIPS |
|
|
Object Detection (Q)
|
91% |
19045
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
3295
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
34520
410.2 IPS |
|
|
Face Detection (Q)
|
100% |
49997
594.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7292
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
77854
599.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
126153
986.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21468
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
202110
259.8 IPS |
|
|
Style Transfer (Q)
|
96% |
248901
321.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5108
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
34490
1.27 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55494
2.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3213
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1917
2.56 KIPS |
|
|
Text Classification (Q)
|
93% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3141
54.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6064
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7550
130.5 IPS |
