iPhone 17 Pro
Geekbench AI Score
5239
Single Precision Score
8463
Half Precision Score
6675
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | April 05 2026 06:07 AM |
| Views | 3 |
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% |
2404
447.1 IPS |
|
|
Image Classification (HP)
|
100% |
2730
507.7 IPS |
|
|
Image Classification (Q)
|
94% |
1880
351.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2399
38.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3510
56.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8391
9.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
16014
18.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13568
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.9 IPS |
|
|
Object Detection (HP)
|
98% |
4172
332.0 IPS |
|
|
Object Detection (Q)
|
88% |
2667
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
4788
56.9 IPS |
|
|
Face Detection (HP)
|
100% |
9740
115.7 IPS |
|
|
Face Detection (Q)
|
100% |
4615
54.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7894
60.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11469
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8105
63.3 IPS |
|
|
Style Transfer (SP)
|
100% |
20388
26.2 IPS |
|
|
Style Transfer (HP)
|
100% |
41076
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33283
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5129
189.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9595
354.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6196
228.8 IPS |
|
|
Text Classification (SP)
|
99% |
6695
8.94 KIPS |
|
|
Text Classification (HP)
|
99% |
11498
15.3 KIPS |
|
|
Text Classification (Q)
|
93% |
11246
15.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
5086
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8509
146.6 IPS |
|
|
Machine Translation (Q)
|
98% |
8482
146.6 IPS |
