iPhone 15 Pro
Geekbench AI Score
2424
Single Precision Score
2873
Half Precision Score
2735
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 02:39 AM |
| Views | 3 |
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% |
1847
343.6 IPS |
|
|
Image Classification (HP)
|
100% |
1799
334.6 IPS |
|
|
Image Classification (Q)
|
96% |
2021
377.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3752
60.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4182
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4037
65.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13066
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
15019
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14498
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
2827
224.2 IPS |
|
|
Object Detection (Q)
|
92% |
2427
193.7 IPS |
|
|
Face Detection (SP)
|
100% |
6364
75.6 IPS |
|
|
Face Detection (HP)
|
100% |
8911
105.9 IPS |
|
|
Face Detection (Q)
|
100% |
7001
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11029
85.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
12412
95.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11259
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26775
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32639
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
33256
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5593
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5875
216.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5503
203.2 IPS |
|
|
Text Classification (SP)
|
100% |
3204
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5669
7.57 KIPS |
|
|
Text Classification (Q)
|
93% |
5670
7.61 KIPS |
|
|
Machine Translation (SP)
|
0% |
0
10.3 IPS |
|
|
Machine Translation (HP)
|
0% |
0
11.5 IPS |
|
|
Machine Translation (Q)
|
0% |
0
10.00 IPS |
