iPhone 15 Pro
Geekbench AI Score
5050
Single Precision Score
5889
Half Precision Score
5646
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 08 2025 02:28 AM |
| Views | 4 |
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% |
1879
349.5 IPS |
|
|
Image Classification (HP)
|
100% |
1789
332.8 IPS |
|
|
Image Classification (Q)
|
96% |
2097
391.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
3781
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4210
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4056
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13180
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15107
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14663
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2308
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
2633
208.8 IPS |
|
|
Object Detection (Q)
|
92% |
2421
193.2 IPS |
|
|
Face Detection (SP)
|
100% |
6710
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
9279
110.3 IPS |
|
|
Face Detection (Q)
|
100% |
7492
89.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11404
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12688
97.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11229
87.7 IPS |
|
|
Style Transfer (SP)
|
100% |
27411
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
33277
42.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32768
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5716
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5934
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5211
192.4 IPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5411
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5564
7.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1270
21.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1332
22.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1364
23.6 IPS |
