iPhone 17 Pro
Geekbench AI Score
4990
Single Precision Score
8180
Half Precision Score
6442
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | March 18 2026 08:51 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| Model | iPhone 17 Pro |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | Apple A19 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2363
439.4 IPS |
|
|
Image Classification (HP)
|
100% |
2703
502.7 IPS |
|
|
Image Classification (Q)
|
94% |
2008
375.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2150
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2405
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3540
57.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8234
9.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
15599
18.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
13380
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
2582
204.8 IPS |
|
|
Object Detection (HP)
|
98% |
4212
335.1 IPS |
|
|
Object Detection (Q)
|
88% |
2655
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
4601
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8781
104.3 IPS |
|
|
Face Detection (Q)
|
100% |
4215
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7151
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10904
84.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
7718
60.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19246
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36707
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29802
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4592
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9420
347.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5803
214.3 IPS |
|
|
Text Classification (SP)
|
99% |
6743
9.00 KIPS |
|
|
Text Classification (HP)
|
99% |
11411
15.2 KIPS |
|
|
Text Classification (Q)
|
93% |
11328
15.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
4523
77.9 IPS |
|
|
Machine Translation (HP)
|
100% |
8313
143.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7653
132.2 IPS |
