iPhone 15 Pro
Geekbench AI Score
5041
Single Precision Score
6020
Half Precision Score
5627
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 14 2025 08:29 AM |
| Views | 5 |
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% |
1986
369.2 IPS |
|
|
Image Classification (HP)
|
100% |
1998
371.6 IPS |
|
|
Image Classification (Q)
|
96% |
2113
394.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3756
60.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4245
68.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
4066
65.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13130
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
15047
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14558
17.1 IPS |
|
|
Object Detection (SP)
|
100% |
2281
181.0 IPS |
|
|
Object Detection (HP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (Q)
|
92% |
2467
196.9 IPS |
|
|
Face Detection (SP)
|
100% |
6536
77.7 IPS |
|
|
Face Detection (HP)
|
100% |
8942
106.2 IPS |
|
|
Face Detection (Q)
|
100% |
7022
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10948
84.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
12197
94.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11279
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26768
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
32669
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31659
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5778
213.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5939
219.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5508
203.4 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
5463
7.29 KIPS |
|
|
Text Classification (Q)
|
93% |
5415
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1306
22.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1603
27.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1380
23.8 IPS |
