iPhone 15 Pro
Geekbench AI Score
5117
Single Precision Score
6002
Half Precision Score
5755
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:32 PM |
| Views | 6 |
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% |
2231
414.8 IPS |
|
|
Image Classification (HP)
|
100% |
2093
389.3 IPS |
|
|
Image Classification (Q)
|
96% |
2063
385.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3672
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4213
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4096
66.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
13170
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
15104
17.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
14522
17.0 IPS |
|
|
Object Detection (SP)
|
100% |
2367
187.8 IPS |
|
|
Object Detection (HP)
|
100% |
2697
213.9 IPS |
|
|
Object Detection (Q)
|
92% |
2585
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
6658
79.1 IPS |
|
|
Face Detection (HP)
|
100% |
8722
103.6 IPS |
|
|
Face Detection (Q)
|
100% |
6974
82.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10997
84.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12458
96.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11370
88.8 IPS |
|
|
Style Transfer (SP)
|
100% |
27355
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
32454
41.7 IPS |
|
|
Style Transfer (Q)
|
96% |
33410
43.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5802
214.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5951
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5435
200.7 IPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5591
7.46 KIPS |
|
|
Text Classification (Q)
|
93% |
5499
7.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1284
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1441
24.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1587
27.4 IPS |
