iPhone 15 Pro
Geekbench AI Score
5090
Single Precision Score
5926
Half Precision Score
5716
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 03:17 AM |
| Views | 2 |
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% |
1926
358.1 IPS |
|
|
Image Classification (HP)
|
100% |
1740
323.5 IPS |
|
|
Image Classification (Q)
|
96% |
2079
388.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3829
62.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4206
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4122
66.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13150
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15131
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
14731
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.1 IPS |
|
|
Object Detection (HP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (Q)
|
92% |
2419
193.0 IPS |
|
|
Face Detection (SP)
|
100% |
6598
78.4 IPS |
|
|
Face Detection (HP)
|
100% |
9254
110.0 IPS |
|
|
Face Detection (Q)
|
100% |
7317
86.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
11383
87.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12654
97.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11262
88.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27109
34.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32649
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32273
41.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5552
205.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5957
220.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5268
194.5 IPS |
|
|
Text Classification (SP)
|
100% |
3314
4.42 KIPS |
|
|
Text Classification (HP)
|
99% |
5753
7.68 KIPS |
|
|
Text Classification (Q)
|
93% |
5852
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1363
23.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1488
25.7 IPS |
