iPhone 15 Pro
Geekbench AI Score
5001
Single Precision Score
5911
Half Precision Score
5624
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1985
369.1 IPS |
|
|
Image Classification (HP)
|
100% |
1757
326.7 IPS |
|
|
Image Classification (Q)
|
96% |
2019
377.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3757
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4192
67.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4048
65.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12655
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14912
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
14291
16.7 IPS |
|
|
Object Detection (SP)
|
100% |
2347
186.1 IPS |
|
|
Object Detection (HP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (Q)
|
92% |
2497
199.3 IPS |
|
|
Face Detection (SP)
|
100% |
6442
76.5 IPS |
|
|
Face Detection (HP)
|
100% |
8677
103.1 IPS |
|
|
Face Detection (Q)
|
100% |
6877
81.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10630
81.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12338
95.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11190
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26550
34.1 IPS |
|
|
Style Transfer (HP)
|
100% |
32214
41.4 IPS |
|
|
Style Transfer (Q)
|
96% |
32922
42.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5773
213.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6076
224.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5469
202.0 IPS |
|
|
Text Classification (SP)
|
100% |
3233
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5637
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5615
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1303
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1507
26.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1396
24.1 IPS |
