iPhone 15 Pro
Geekbench AI Score
5007
Single Precision Score
6064
Half Precision Score
5333
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Wierzbi |
| Upload Date | March 08 2025 07:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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% |
2210
411.1 IPS |
|
|
Image Classification (HP)
|
100% |
2604
484.3 IPS |
|
|
Image Classification (Q)
|
97% |
2110
393.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2941
47.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3752
60.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3798
61.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13505
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14342
16.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13486
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
2517
199.6 IPS |
|
|
Object Detection (HP)
|
100% |
3009
238.7 IPS |
|
|
Object Detection (Q)
|
91% |
2368
189.2 IPS |
|
|
Face Detection (SP)
|
100% |
6452
76.7 IPS |
|
|
Face Detection (HP)
|
100% |
8603
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
6177
73.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11037
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
11894
91.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
10389
81.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27721
35.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32735
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30592
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6056
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6356
234.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4977
183.8 IPS |
|
|
Text Classification (SP)
|
100% |
3195
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5533
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5481
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1174
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1355
23.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1358
23.5 IPS |
