iPhone 17 Pro
Geekbench AI Score
5229
Single Precision Score
8341
Half Precision Score
6608
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:48 AM |
| Views | 4 |
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% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
2645
491.9 IPS |
|
|
Image Classification (Q)
|
94% |
1880
351.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2415
39.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3502
56.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8434
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
16246
19.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
13999
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2611
207.1 IPS |
|
|
Object Detection (HP)
|
98% |
4304
342.5 IPS |
|
|
Object Detection (Q)
|
88% |
2667
213.7 IPS |
|
|
Face Detection (SP)
|
100% |
4828
57.4 IPS |
|
|
Face Detection (HP)
|
100% |
9920
117.9 IPS |
|
|
Face Detection (Q)
|
100% |
4644
55.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7700
59.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11009
85.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7899
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21399
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40169
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
32441
41.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4991
184.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8956
330.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5809
214.5 IPS |
|
|
Text Classification (SP)
|
99% |
6616
8.83 KIPS |
|
|
Text Classification (HP)
|
99% |
10931
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10831
14.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
5314
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
8503
146.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8634
149.2 IPS |
