iPhone 17 Pro
Geekbench AI Score
9878
Single Precision Score
18433
Half Precision Score
19939
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Itzamna |
| Upload Date | March 26 2026 10:34 AM |
| Views | 13 |
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% |
4278
795.5 IPS |
|
|
Image Classification (HP)
|
100% |
8705
1.62 KIPS |
|
|
Image Classification (Q)
|
99% |
8793
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5958
96.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9483
153.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10407
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19871
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
52766
61.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
66927
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
4383
347.7 IPS |
|
|
Object Detection (HP)
|
100% |
8703
690.3 IPS |
|
|
Object Detection (Q)
|
94% |
9486
756.4 IPS |
|
|
Face Detection (SP)
|
100% |
12267
145.8 IPS |
|
|
Face Detection (HP)
|
100% |
25603
304.2 IPS |
|
|
Face Detection (Q)
|
100% |
24904
295.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
17763
136.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33386
257.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
37665
294.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43691
56.2 IPS |
|
|
Style Transfer (HP)
|
100% |
93359
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
119643
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10176
375.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17824
658.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21475
793.0 IPS |
|
|
Text Classification (SP)
|
100% |
6790
9.06 KIPS |
|
|
Text Classification (HP)
|
99% |
11058
14.8 KIPS |
|
|
Text Classification (Q)
|
93% |
11150
15.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
6058
104.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7599
130.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6365
110.0 IPS |
