iPhone 15 Pro
Geekbench AI Score
4908
Single Precision Score
5903
Half Precision Score
5308
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JustinGT86 |
| Upload Date | March 24 2025 07:14 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1944
361.4 IPS |
|
|
Image Classification (HP)
|
100% |
2263
420.9 IPS |
|
|
Image Classification (Q)
|
97% |
1980
369.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2846
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3965
64.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4001
64.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14911
17.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15739
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14761
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2497
198.1 IPS |
|
|
Object Detection (HP)
|
100% |
2825
224.1 IPS |
|
|
Object Detection (Q)
|
91% |
2437
194.8 IPS |
|
|
Face Detection (SP)
|
100% |
6259
74.4 IPS |
|
|
Face Detection (HP)
|
100% |
8880
105.5 IPS |
|
|
Face Detection (Q)
|
100% |
6390
75.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11615
89.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12647
97.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
10828
84.6 IPS |
|
|
Style Transfer (SP)
|
100% |
29393
37.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34177
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
33164
42.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6423
237.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6570
242.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5419
200.1 IPS |
|
|
Text Classification (SP)
|
100% |
3155
4.21 KIPS |
|
|
Text Classification (HP)
|
100% |
5532
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5506
7.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
910
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (Q)
|
98% |
911
15.7 IPS |
