iPhone 15 Pro
Geekbench AI Score
3920
Single Precision Score
6801
Half Precision Score
5565
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | djipario |
| Upload Date | January 21 2025 11:08 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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 | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.1 IPS |
|
|
Image Classification (HP)
|
100% |
2922
543.3 IPS |
|
|
Image Classification (Q)
|
96% |
2012
375.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2392
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3088
50.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7976
9.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
16193
18.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
14098
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1762
139.8 IPS |
|
|
Object Detection (HP)
|
97% |
3357
267.2 IPS |
|
|
Object Detection (Q)
|
94% |
2337
186.3 IPS |
|
|
Face Detection (SP)
|
100% |
3168
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
6808
80.9 IPS |
|
|
Face Detection (Q)
|
100% |
3878
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6921
53.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
13439
103.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9164
71.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20771
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31864
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27079
34.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4842
178.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5714
211.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4320
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
3194
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5503
7.35 KIPS |
|
|
Text Classification (Q)
|
93% |
5475
7.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6082
105.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6124
105.8 IPS |
