iPhone 15 Pro
Geekbench AI Score
5119
Single Precision Score
5996
Half Precision Score
5519
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 13 2025 12:02 AM |
| Views | 4 |
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% |
2063
383.7 IPS |
|
|
Image Classification (HP)
|
100% |
1977
367.6 IPS |
|
|
Image Classification (Q)
|
96% |
1609
300.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3673
59.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4225
68.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
4101
66.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13429
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
14553
17.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
14324
16.8 IPS |
|
|
Object Detection (SP)
|
100% |
2450
194.3 IPS |
|
|
Object Detection (HP)
|
100% |
2948
233.8 IPS |
|
|
Object Detection (Q)
|
92% |
2447
195.4 IPS |
|
|
Face Detection (SP)
|
100% |
6588
78.3 IPS |
|
|
Face Detection (HP)
|
100% |
8853
105.2 IPS |
|
|
Face Detection (Q)
|
100% |
6939
82.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11124
85.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
12066
93.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
11383
88.9 IPS |
|
|
Style Transfer (SP)
|
100% |
27859
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32904
42.3 IPS |
|
|
Style Transfer (Q)
|
96% |
32758
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5817
214.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5914
218.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5464
201.8 IPS |
|
|
Text Classification (SP)
|
100% |
3262
4.35 KIPS |
|
|
Text Classification (HP)
|
100% |
5905
7.88 KIPS |
|
|
Text Classification (Q)
|
93% |
5790
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
1281
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1367
23.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1387
24.0 IPS |
