iPhone 17 Pro
Geekbench AI Score
7929
Single Precision Score
15034
Half Precision Score
15530
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | potatogaming |
| Upload Date | January 20 2026 02:27 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
4228
786.3 IPS |
|
|
Image Classification (HP)
|
100% |
8032
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7403
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6071
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9540
154.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10585
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20184
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53878
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59426
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8110
643.3 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
12002
142.6 IPS |
|
|
Face Detection (HP)
|
100% |
23179
275.4 IPS |
|
|
Face Detection (Q)
|
100% |
18365
218.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
17918
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35513
273.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
38498
300.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43836
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
95474
122.7 IPS |
|
|
Style Transfer (Q)
|
96% |
120319
155.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10414
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18528
684.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22350
825.3 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6248
8.34 KIPS |
|
|
Text Classification (Q)
|
93% |
5995
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1937
33.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1914
33.1 IPS |
