iPhone 15 Pro
Geekbench AI Score
4032
Single Precision Score
6932
Half Precision Score
5663
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 02 2025 08:00 PM |
| Views | 1 |
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% |
1716
319.2 IPS |
|
|
Image Classification (HP)
|
100% |
2942
547.2 IPS |
|
|
Image Classification (Q)
|
96% |
2002
373.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2420
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3098
50.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8454
9.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
17126
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14828
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1824
144.7 IPS |
|
|
Object Detection (HP)
|
97% |
3384
269.4 IPS |
|
|
Object Detection (Q)
|
94% |
2367
188.6 IPS |
|
|
Face Detection (SP)
|
100% |
3253
38.7 IPS |
|
|
Face Detection (HP)
|
100% |
6913
82.1 IPS |
|
|
Face Detection (Q)
|
100% |
3936
46.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7162
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
13696
105.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
9406
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21829
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32833
42.2 IPS |
|
|
Style Transfer (Q)
|
96% |
27657
35.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5120
189.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5807
214.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4443
164.1 IPS |
|
|
Text Classification (SP)
|
100% |
3218
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5598
7.47 KIPS |
|
|
Text Classification (Q)
|
93% |
5588
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3151
54.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6147
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6132
106.0 IPS |
