iPhone 15 Pro
Geekbench AI Score
3908
Single Precision Score
6909
Half Precision Score
5684
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | lumelendez |
| Upload Date | July 07 2025 05:34 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1677
311.9 IPS |
|
|
Image Classification (HP)
|
100% |
2975
553.3 IPS |
|
|
Image Classification (Q)
|
96% |
2033
379.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1612
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2337
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3038
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
7855
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
16295
19.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14221
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
1744
138.3 IPS |
|
|
Object Detection (HP)
|
97% |
3273
260.6 IPS |
|
|
Object Detection (Q)
|
94% |
2354
187.6 IPS |
|
|
Face Detection (SP)
|
100% |
3132
37.2 IPS |
|
|
Face Detection (HP)
|
100% |
6733
80.0 IPS |
|
|
Face Detection (Q)
|
100% |
3771
44.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6727
51.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12495
96.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8978
70.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21067
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33525
43.1 IPS |
|
|
Style Transfer (Q)
|
96% |
27616
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4819
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5855
216.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4431
163.6 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5840
7.80 KIPS |
|
|
Text Classification (Q)
|
93% |
5835
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
3194
55.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6937
119.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7044
121.7 IPS |
