iPhone 15 Pro
Geekbench AI Score
4954
Single Precision Score
5801
Half Precision Score
5575
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 06 2025 06:27 PM |
| Views | 1 |
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% |
1938
360.4 IPS |
|
|
Image Classification (HP)
|
100% |
1744
324.3 IPS |
|
|
Image Classification (Q)
|
96% |
1943
362.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3792
61.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4183
67.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4055
65.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12549
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
14706
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13980
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2274
180.4 IPS |
|
|
Object Detection (HP)
|
100% |
2562
203.2 IPS |
|
|
Object Detection (Q)
|
92% |
2431
194.1 IPS |
|
|
Face Detection (SP)
|
100% |
6647
79.0 IPS |
|
|
Face Detection (HP)
|
100% |
8628
102.5 IPS |
|
|
Face Detection (Q)
|
100% |
7004
83.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
10610
81.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12361
95.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
11191
87.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26898
34.6 IPS |
|
|
Style Transfer (HP)
|
100% |
32353
41.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32095
41.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5689
210.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5780
213.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5449
201.2 IPS |
|
|
Text Classification (SP)
|
100% |
3177
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5407
7.22 KIPS |
|
|
Text Classification (Q)
|
93% |
5490
7.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1456
25.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1441
24.9 IPS |
