iPhone 15 Pro
Geekbench AI Score
5052
Single Precision Score
5965
Half Precision Score
5794
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 25 2025 02:22 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1955
363.6 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (Q)
|
96% |
2083
389.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3783
61.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
4229
68.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4091
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13133
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15062
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14535
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2356
186.9 IPS |
|
|
Object Detection (HP)
|
100% |
2590
205.4 IPS |
|
|
Object Detection (Q)
|
92% |
2513
200.6 IPS |
|
|
Face Detection (SP)
|
100% |
6542
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
8712
103.5 IPS |
|
|
Face Detection (Q)
|
100% |
7087
84.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10942
84.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12388
95.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
11280
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26985
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
32603
41.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31579
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6020
222.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5650
208.6 IPS |
|
|
Text Classification (SP)
|
100% |
3244
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5570
7.43 KIPS |
|
|
Text Classification (Q)
|
93% |
5604
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1323
22.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1442
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1716
29.7 IPS |
