iPhone 15 Pro
Geekbench AI Score
5000
Single Precision Score
5923
Half Precision Score
5689
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:35 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% |
1866
347.0 IPS |
|
|
Image Classification (HP)
|
100% |
1827
339.7 IPS |
|
|
Image Classification (Q)
|
96% |
2030
379.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3664
59.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4212
68.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4058
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12955
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14980
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
14467
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2416
191.6 IPS |
|
|
Object Detection (HP)
|
100% |
2727
216.3 IPS |
|
|
Object Detection (Q)
|
92% |
2515
200.7 IPS |
|
|
Face Detection (SP)
|
100% |
6387
75.9 IPS |
|
|
Face Detection (HP)
|
100% |
8454
100.5 IPS |
|
|
Face Detection (Q)
|
100% |
6923
82.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11097
85.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
12343
95.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
11253
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
26679
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
32553
41.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33071
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5796
214.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5977
220.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5456
201.5 IPS |
|
|
Text Classification (SP)
|
100% |
3211
4.29 KIPS |
|
|
Text Classification (HP)
|
99% |
5548
7.41 KIPS |
|
|
Text Classification (Q)
|
93% |
5677
7.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1502
25.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1485
25.7 IPS |
