iPhone 17 Pro
Geekbench AI Score
10009
Single Precision Score
18935
Half Precision Score
20246
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 01 2026 09:44 AM |
| Views | 9 |
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% |
4304
800.4 IPS |
|
|
Image Classification (HP)
|
100% |
8687
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
8935
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6099
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9755
158.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10579
171.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20314
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54135
63.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
68884
80.7 IPS |
|
|
Object Detection (SP)
|
100% |
4528
359.1 IPS |
|
|
Object Detection (HP)
|
100% |
8862
702.9 IPS |
|
|
Object Detection (Q)
|
94% |
9653
769.7 IPS |
|
|
Face Detection (SP)
|
100% |
12435
147.8 IPS |
|
|
Face Detection (HP)
|
100% |
26472
314.5 IPS |
|
|
Face Detection (Q)
|
100% |
25513
303.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18130
139.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
33775
260.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38656
301.8 IPS |
|
|
Style Transfer (SP)
|
100% |
44521
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96524
124.1 IPS |
|
|
Style Transfer (Q)
|
96% |
123009
158.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10364
382.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19732
728.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21823
805.8 IPS |
|
|
Text Classification (SP)
|
99% |
6576
8.78 KIPS |
|
|
Text Classification (HP)
|
99% |
10965
14.6 KIPS |
|
|
Text Classification (Q)
|
93% |
10703
14.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
6113
105.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7805
134.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6499
112.3 IPS |
