iPhone 15 Pro
Geekbench AI Score
5160
Single Precision Score
5929
Half Precision Score
5543
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 01 2025 03:12 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2010
373.8 IPS |
|
|
Image Classification (HP)
|
100% |
1954
363.3 IPS |
|
|
Image Classification (Q)
|
96% |
1628
304.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3738
60.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4316
70.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4195
68.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13807
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14274
16.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13850
16.2 IPS |
|
|
Object Detection (SP)
|
100% |
2458
194.9 IPS |
|
|
Object Detection (HP)
|
100% |
2735
217.0 IPS |
|
|
Object Detection (Q)
|
92% |
2530
202.0 IPS |
|
|
Face Detection (SP)
|
100% |
6481
77.0 IPS |
|
|
Face Detection (HP)
|
100% |
8439
100.3 IPS |
|
|
Face Detection (Q)
|
100% |
6898
82.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11382
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12083
93.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
11148
87.2 IPS |
|
|
Style Transfer (SP)
|
100% |
28282
36.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32567
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31691
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5990
221.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6284
232.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5500
203.1 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
100% |
5659
7.55 KIPS |
|
|
Text Classification (Q)
|
93% |
5628
7.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1381
23.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1517
26.2 IPS |
