iPhone 15 Pro
Geekbench AI Score
5117
Single Precision Score
5985
Half Precision Score
5510
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 30 2025 03:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1951
362.8 IPS |
|
|
Image Classification (HP)
|
100% |
2108
392.0 IPS |
|
|
Image Classification (Q)
|
96% |
1802
336.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3776
61.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4194
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4048
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
13391
15.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14514
16.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14280
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
2679
212.5 IPS |
|
|
Object Detection (Q)
|
92% |
2429
193.9 IPS |
|
|
Face Detection (SP)
|
100% |
6394
76.0 IPS |
|
|
Face Detection (HP)
|
100% |
8743
103.9 IPS |
|
|
Face Detection (Q)
|
100% |
6877
81.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
11280
86.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12211
94.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11372
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27769
35.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32331
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31712
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5811
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6028
222.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5483
202.5 IPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
100% |
5691
7.60 KIPS |
|
|
Text Classification (Q)
|
93% |
5612
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
1348
23.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1450
25.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1337
23.1 IPS |
