iPhone 17 Pro
Geekbench AI Score
4872
Single Precision Score
8082
Half Precision Score
6336
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | February 02 2026 05:11 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1701
316.3 IPS |
|
|
Image Classification (HP)
|
100% |
2770
515.2 IPS |
|
|
Image Classification (Q)
|
96% |
1852
345.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1932
31.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3341
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9670
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17918
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15181
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2545
201.9 IPS |
|
|
Object Detection (HP)
|
97% |
4193
333.8 IPS |
|
|
Object Detection (Q)
|
94% |
2778
221.4 IPS |
|
|
Face Detection (SP)
|
100% |
4502
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
8395
99.8 IPS |
|
|
Face Detection (Q)
|
100% |
4242
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8373
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14024
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9812
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24361
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38135
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31491
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5580
206.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6986
257.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5025
185.6 IPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6527
8.71 KIPS |
|
|
Text Classification (Q)
|
93% |
6482
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5175
89.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9370
161.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9368
161.9 IPS |
