iPhone 15 Pro
Geekbench AI Score
4372
Single Precision Score
4851
Half Precision Score
4627
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | wp4 |
| Upload Date | November 13 2025 03:59 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
833
154.9 IPS |
|
|
Image Classification (HP)
|
100% |
911
169.3 IPS |
|
|
Image Classification (Q)
|
96% |
899
167.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3733
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4144
67.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4140
67.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13178
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15024
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14398
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (HP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (Q)
|
92% |
1502
119.9 IPS |
|
|
Face Detection (SP)
|
100% |
5937
70.5 IPS |
|
|
Face Detection (HP)
|
100% |
6538
77.7 IPS |
|
|
Face Detection (Q)
|
100% |
5152
61.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10731
82.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12167
93.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
11023
86.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26772
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
31910
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32773
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4736
174.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4350
160.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4495
166.0 IPS |
|
|
Text Classification (SP)
|
100% |
3134
4.18 KIPS |
|
|
Text Classification (HP)
|
99% |
5167
6.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5180
6.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1341
23.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1291
22.3 IPS |
