iPhone 15 Pro
Geekbench AI Score
5045
Single Precision Score
6008
Half Precision Score
5238
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 10:37 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1941
361.1 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.8 IPS |
|
|
Image Classification (Q)
|
97% |
1746
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3101
50.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3929
63.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4025
65.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15224
17.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
15938
18.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15084
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2637
209.2 IPS |
|
|
Object Detection (HP)
|
100% |
3148
249.7 IPS |
|
|
Object Detection (Q)
|
91% |
2402
191.9 IPS |
|
|
Face Detection (SP)
|
100% |
6717
79.8 IPS |
|
|
Face Detection (HP)
|
100% |
9124
108.4 IPS |
|
|
Face Detection (Q)
|
100% |
6319
75.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11851
91.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12894
99.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
10750
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30023
38.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34999
45.0 IPS |
|
|
Style Transfer (Q)
|
96% |
34057
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6388
235.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6744
249.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5264
194.4 IPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5472
7.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
909
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
975
16.8 IPS |
|
|
Machine Translation (Q)
|
98% |
918
15.9 IPS |
