iPhone 17 Pro
Geekbench AI Score
9316
Single Precision Score
17513
Half Precision Score
19070
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | January 28 2026 06:05 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
4319
803.2 IPS |
|
|
Image Classification (HP)
|
100% |
8620
1.60 KIPS |
|
|
Image Classification (Q)
|
99% |
8878
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6071
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9578
155.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10470
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19888
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
53274
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67708
79.4 IPS |
|
|
Object Detection (SP)
|
100% |
4451
353.0 IPS |
|
|
Object Detection (HP)
|
100% |
8751
694.1 IPS |
|
|
Object Detection (Q)
|
94% |
9641
768.8 IPS |
|
|
Face Detection (SP)
|
100% |
12247
145.5 IPS |
|
|
Face Detection (HP)
|
100% |
25759
306.1 IPS |
|
|
Face Detection (Q)
|
100% |
25118
298.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17852
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
33324
256.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
37860
295.6 IPS |
|
|
Style Transfer (SP)
|
100% |
44183
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
93418
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
121729
157.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10294
380.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17826
658.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21619
798.3 IPS |
|
|
Text Classification (SP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6434
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6408
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
6099
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
7669
132.1 IPS |
|
|
Machine Translation (Q)
|
98% |
6540
113.0 IPS |
