iPhone 15 Pro
Geekbench AI Score
3998
Single Precision Score
6854
Half Precision Score
5626
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 04 2025 03:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1741
323.7 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.8 IPS |
|
|
Image Classification (Q)
|
96% |
2016
376.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1628
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2398
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3096
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8163
9.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
16624
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14388
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1810
143.6 IPS |
|
|
Object Detection (HP)
|
97% |
3358
267.3 IPS |
|
|
Object Detection (Q)
|
94% |
2363
188.3 IPS |
|
|
Face Detection (SP)
|
100% |
3262
38.8 IPS |
|
|
Face Detection (HP)
|
100% |
6820
81.0 IPS |
|
|
Face Detection (Q)
|
100% |
3895
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7107
54.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
13473
104.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
9333
73.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21464
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32628
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
27718
35.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4986
184.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4426
163.4 IPS |
|
|
Text Classification (SP)
|
100% |
3197
4.27 KIPS |
|
|
Text Classification (HP)
|
100% |
5498
7.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5471
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
3143
54.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6092
105.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6146
106.2 IPS |
