iPhone 15 Pro
Geekbench AI Score
5082
Single Precision Score
6054
Half Precision Score
5757
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:31 AM |
| Views | 5 |
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% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
2098
390.2 IPS |
|
|
Image Classification (Q)
|
96% |
2066
385.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3806
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4198
68.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4081
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13244
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
15031
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14562
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
2712
215.1 IPS |
|
|
Object Detection (Q)
|
92% |
2520
201.2 IPS |
|
|
Face Detection (SP)
|
100% |
6490
77.1 IPS |
|
|
Face Detection (HP)
|
100% |
8714
103.5 IPS |
|
|
Face Detection (Q)
|
100% |
6857
81.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11021
84.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12258
94.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11348
88.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26959
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32716
42.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33373
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6003
221.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5563
205.4 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5937
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5911
7.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1296
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1481
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1514
26.2 IPS |
