iPhone 15 Pro
Geekbench AI Score
4069
Single Precision Score
7044
Half Precision Score
5770
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 03:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1688
313.9 IPS |
|
|
Image Classification (HP)
|
100% |
2969
552.1 IPS |
|
|
Image Classification (Q)
|
96% |
2050
382.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2355
38.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3058
49.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8817
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17614
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15199
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
3385
269.5 IPS |
|
|
Object Detection (Q)
|
94% |
2396
190.9 IPS |
|
|
Face Detection (SP)
|
100% |
3245
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
6927
82.3 IPS |
|
|
Face Detection (Q)
|
100% |
3881
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7190
55.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
12990
100.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
9117
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
22646
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
35016
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28811
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5144
189.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5730
211.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4452
164.4 IPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5707
7.62 KIPS |
|
|
Text Classification (Q)
|
93% |
5670
7.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
3232
55.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7004
121.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6972
120.5 IPS |
