iPhone 15 Pro
Geekbench AI Score
3953
Single Precision Score
6853
Half Precision Score
5650
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Benster412 |
| Upload Date | May 07 2025 05:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
2978
553.8 IPS |
|
|
Image Classification (Q)
|
96% |
2045
381.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2407
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3047
49.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8166
9.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
16593
19.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14129
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1783
141.4 IPS |
|
|
Object Detection (HP)
|
97% |
2863
227.9 IPS |
|
|
Object Detection (Q)
|
94% |
2176
173.5 IPS |
|
|
Face Detection (SP)
|
100% |
3074
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6683
79.4 IPS |
|
|
Face Detection (Q)
|
100% |
3781
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6783
52.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12943
100.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
9037
70.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21239
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33789
43.4 IPS |
|
|
Style Transfer (Q)
|
96% |
27532
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4801
177.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5727
211.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4440
163.9 IPS |
|
|
Text Classification (SP)
|
100% |
3257
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5721
7.64 KIPS |
|
|
Text Classification (Q)
|
93% |
5866
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
3182
54.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7010
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7068
122.1 IPS |
