iPhone 17 Pro
Geekbench AI Score
10006
Single Precision Score
18796
Half Precision Score
20206
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 01:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4257
791.6 IPS |
|
|
Image Classification (HP)
|
100% |
8649
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8938
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6094
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9711
157.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10567
171.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
20301
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54049
63.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
68955
80.8 IPS |
|
|
Object Detection (SP)
|
100% |
4522
358.7 IPS |
|
|
Object Detection (HP)
|
100% |
8668
687.6 IPS |
|
|
Object Detection (Q)
|
94% |
9646
769.1 IPS |
|
|
Face Detection (SP)
|
100% |
12494
148.5 IPS |
|
|
Face Detection (HP)
|
100% |
26495
314.8 IPS |
|
|
Face Detection (Q)
|
100% |
25385
301.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18082
139.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33755
260.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38121
297.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44811
57.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96514
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
122889
158.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10419
384.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18963
700.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21821
805.8 IPS |
|
|
Text Classification (SP)
|
99% |
6565
8.76 KIPS |
|
|
Text Classification (HP)
|
99% |
10954
14.6 KIPS |
|
|
Text Classification (Q)
|
92% |
10738
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
6104
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7804
134.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6482
112.0 IPS |
