iPhone 15 Pro
Geekbench AI Score
5077
Single Precision Score
6003
Half Precision Score
5411
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 05:04 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1814
337.3 IPS |
|
|
Image Classification (HP)
|
100% |
1999
371.8 IPS |
|
|
Image Classification (Q)
|
96% |
1439
268.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3807
61.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4207
68.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4041
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13492
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14559
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14163
16.6 IPS |
|
|
Object Detection (SP)
|
100% |
2420
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
2687
213.1 IPS |
|
|
Object Detection (Q)
|
92% |
2406
192.1 IPS |
|
|
Face Detection (SP)
|
100% |
6707
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
9202
109.3 IPS |
|
|
Face Detection (Q)
|
100% |
7241
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
11544
88.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
12656
97.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
11951
93.3 IPS |
|
|
Style Transfer (SP)
|
100% |
27588
35.5 IPS |
|
|
Style Transfer (HP)
|
100% |
31917
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31171
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5615
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5805
214.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5204
192.2 IPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
5783
7.72 KIPS |
|
|
Text Classification (Q)
|
93% |
5804
7.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1279
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1482
25.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1333
23.0 IPS |
