iPhone 17 Pro
Geekbench AI Score
10028
Single Precision Score
18739
Half Precision Score
20288
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | April 05 2026 09:49 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% |
4288
797.4 IPS |
|
|
Image Classification (HP)
|
100% |
8512
1.58 KIPS |
|
|
Image Classification (Q)
|
99% |
8925
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6096
98.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9683
157.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10599
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20306
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53970
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
68291
80.0 IPS |
|
|
Object Detection (SP)
|
100% |
4545
360.5 IPS |
|
|
Object Detection (HP)
|
100% |
8625
684.1 IPS |
|
|
Object Detection (Q)
|
94% |
9654
769.7 IPS |
|
|
Face Detection (SP)
|
100% |
12467
148.1 IPS |
|
|
Face Detection (HP)
|
100% |
26465
314.5 IPS |
|
|
Face Detection (Q)
|
100% |
25458
302.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18113
139.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33715
259.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38700
302.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44465
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96315
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
123016
158.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10404
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18821
695.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21821
805.7 IPS |
|
|
Text Classification (SP)
|
99% |
6739
8.99 KIPS |
|
|
Text Classification (HP)
|
99% |
11019
14.7 KIPS |
|
|
Text Classification (Q)
|
92% |
11077
14.9 KIPS |
|
|
Machine Translation (SP)
|
100% |
6057
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7808
134.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6467
111.8 IPS |
