iPhone 17 Pro
Geekbench AI Score
5333
Single Precision Score
8652
Half Precision Score
6759
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 02 2026 06:14 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.5 |
| 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% |
2411
448.4 IPS |
|
|
Image Classification (HP)
|
100% |
2856
531.1 IPS |
|
|
Image Classification (Q)
|
94% |
1877
350.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2228
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2441
39.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3529
57.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8645
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16207
18.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
14073
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
98% |
4323
344.0 IPS |
|
|
Object Detection (Q)
|
88% |
2708
217.1 IPS |
|
|
Face Detection (SP)
|
100% |
4708
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
9837
116.9 IPS |
|
|
Face Detection (Q)
|
100% |
4680
55.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7859
60.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11322
87.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8069
63.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21870
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
42112
54.1 IPS |
|
|
Style Transfer (Q)
|
96% |
33110
42.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5178
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10187
376.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6282
232.0 IPS |
|
|
Text Classification (SP)
|
99% |
6849
9.14 KIPS |
|
|
Text Classification (HP)
|
100% |
11639
15.5 KIPS |
|
|
Text Classification (Q)
|
93% |
11679
15.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
5289
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
8654
149.1 IPS |
|
|
Machine Translation (Q)
|
98% |
8605
148.7 IPS |
