iPhone 17 Pro
Geekbench AI Score
5249
Single Precision Score
8440
Half Precision Score
6584
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 08 2026 08:15 AM |
| Views | 5 |
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% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.2 IPS |
|
|
Image Classification (Q)
|
94% |
1839
343.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2121
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2336
37.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3452
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8537
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
16079
18.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13986
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (HP)
|
98% |
4153
330.5 IPS |
|
|
Object Detection (Q)
|
88% |
2661
213.3 IPS |
|
|
Face Detection (SP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
9742
115.8 IPS |
|
|
Face Detection (Q)
|
100% |
4568
54.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7806
60.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11117
85.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
7828
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21376
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40279
51.8 IPS |
|
|
Style Transfer (Q)
|
96% |
32285
41.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4977
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9350
345.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5905
218.1 IPS |
|
|
Text Classification (SP)
|
100% |
6814
9.09 KIPS |
|
|
Text Classification (HP)
|
100% |
11040
14.7 KIPS |
|
|
Text Classification (Q)
|
92% |
10970
14.7 KIPS |
|
|
Machine Translation (SP)
|
100% |
5291
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9066
156.2 IPS |
|
|
Machine Translation (Q)
|
98% |
8676
149.9 IPS |
