iPhone 15 Pro
Geekbench AI Score
5108
Single Precision Score
5899
Half Precision Score
5546
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 10 2025 11:51 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A17 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
1900
353.3 IPS |
|
|
Image Classification (Q)
|
96% |
1580
295.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3697
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4250
68.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4114
66.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13520
15.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
14680
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
14397
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2502
198.4 IPS |
|
|
Object Detection (HP)
|
100% |
2755
218.5 IPS |
|
|
Object Detection (Q)
|
92% |
2615
208.7 IPS |
|
|
Face Detection (SP)
|
100% |
6508
77.3 IPS |
|
|
Face Detection (HP)
|
100% |
8566
101.8 IPS |
|
|
Face Detection (Q)
|
100% |
6992
83.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
11206
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12144
93.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
11391
89.0 IPS |
|
|
Style Transfer (SP)
|
100% |
27386
35.2 IPS |
|
|
Style Transfer (HP)
|
100% |
31866
41.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31382
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5905
218.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5494
202.9 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5666
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5663
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1411
24.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1448
25.0 IPS |
