iPhone 15 Pro
Geekbench AI Score
3774
Single Precision Score
5523
Half Precision Score
4781
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
2202
409.5 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1346
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2082
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7904
9.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
16452
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14133
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
1790
142.0 IPS |
|
|
Object Detection (HP)
|
97% |
2613
208.0 IPS |
|
|
Object Detection (Q)
|
94% |
2008
160.1 IPS |
|
|
Face Detection (SP)
|
100% |
2962
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
4992
59.3 IPS |
|
|
Face Detection (Q)
|
100% |
3198
38.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6438
49.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
9732
75.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
7343
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20568
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
30619
39.4 IPS |
|
|
Style Transfer (Q)
|
96% |
25883
33.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4822
178.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5869
216.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4449
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (HP)
|
100% |
5236
6.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5214
7.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
2791
48.1 IPS |
|
|
Machine Translation (HP)
|
98% |
4541
78.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4528
78.2 IPS |
