iPhone 15 Pro
Geekbench AI Score
1673
Single Precision Score
2445
Half Precision Score
2084
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rbBakri |
| Upload Date | October 18 2025 10:35 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
777
144.6 IPS |
|
|
Image Classification (HP)
|
100% |
909
169.0 IPS |
|
|
Image Classification (Q)
|
96% |
690
128.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
599
9.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
874
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3506
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
7223
8.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
6270
7.35 IPS |
|
|
Object Detection (SP)
|
100% |
761
60.4 IPS |
|
|
Object Detection (HP)
|
97% |
1157
92.1 IPS |
|
|
Object Detection (Q)
|
94% |
857
68.3 IPS |
|
|
Face Detection (SP)
|
100% |
1440
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
2294
27.3 IPS |
|
|
Face Detection (Q)
|
100% |
1365
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2781
21.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
4246
32.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
3269
25.5 IPS |
|
|
Style Transfer (SP)
|
100% |
8555
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13117
16.9 IPS |
|
|
Style Transfer (Q)
|
96% |
11286
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2180
80.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2581
95.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1862
68.8 IPS |
|
|
Text Classification (SP)
|
100% |
1371
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2239
3.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2265
39.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2277
39.3 IPS |
