iPhone 17 Pro
Geekbench AI Score
10003
Single Precision Score
18870
Half Precision Score
20379
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | March 01 2026 10:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4305
800.6 IPS |
|
|
Image Classification (HP)
|
100% |
8652
1.61 KIPS |
|
|
Image Classification (Q)
|
99% |
8969
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6112
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9641
156.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10575
171.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20323
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53959
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
68287
80.0 IPS |
|
|
Object Detection (SP)
|
100% |
4482
355.5 IPS |
|
|
Object Detection (HP)
|
100% |
8821
699.7 IPS |
|
|
Object Detection (Q)
|
94% |
9645
769.1 IPS |
|
|
Face Detection (SP)
|
100% |
12449
147.9 IPS |
|
|
Face Detection (HP)
|
100% |
26517
315.1 IPS |
|
|
Face Detection (Q)
|
100% |
25616
304.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
18056
139.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
33645
259.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38578
301.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43943
56.5 IPS |
|
|
Style Transfer (HP)
|
100% |
96135
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
124613
160.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10395
383.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19222
709.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21899
808.6 IPS |
|
|
Text Classification (SP)
|
99% |
6733
8.99 KIPS |
|
|
Text Classification (HP)
|
100% |
11422
15.2 KIPS |
|
|
Text Classification (Q)
|
92% |
11450
15.4 KIPS |
|
|
Machine Translation (SP)
|
100% |
6054
104.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7659
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6406
110.7 IPS |
