iPhone 15 Pro
Geekbench AI Score
3979
Single Precision Score
6851
Half Precision Score
5666
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 09:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1703
316.7 IPS |
|
|
Image Classification (HP)
|
100% |
2929
544.7 IPS |
|
|
Image Classification (Q)
|
96% |
2013
375.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1622
26.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2411
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3099
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8405
9.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
16864
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14690
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
1716
136.1 IPS |
|
|
Object Detection (HP)
|
97% |
3258
259.3 IPS |
|
|
Object Detection (Q)
|
94% |
2399
191.2 IPS |
|
|
Face Detection (SP)
|
100% |
3206
38.1 IPS |
|
|
Face Detection (HP)
|
100% |
6858
81.5 IPS |
|
|
Face Detection (Q)
|
100% |
3912
46.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7135
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
13616
105.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
9401
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21665
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
32849
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27565
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5755
212.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4396
162.3 IPS |
|
|
Text Classification (SP)
|
100% |
3196
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5508
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5716
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
3120
53.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6046
104.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6098
105.4 IPS |
