iPhone 17 Pro
Geekbench AI Score
8942
Single Precision Score
16636
Half Precision Score
17145
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | advantis |
| Upload Date | February 08 2026 09:31 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
4246
789.6 IPS |
|
|
Image Classification (HP)
|
100% |
7948
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7364
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5940
96.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9391
152.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10367
168.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19895
23.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
52573
61.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57269
67.1 IPS |
|
|
Object Detection (SP)
|
100% |
4325
343.0 IPS |
|
|
Object Detection (HP)
|
100% |
8078
640.7 IPS |
|
|
Object Detection (Q)
|
93% |
8010
639.0 IPS |
|
|
Face Detection (SP)
|
100% |
11304
134.3 IPS |
|
|
Face Detection (HP)
|
100% |
22879
271.8 IPS |
|
|
Face Detection (Q)
|
100% |
17475
207.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
17663
136.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34445
265.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
37272
291.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43137
55.5 IPS |
|
|
Style Transfer (HP)
|
100% |
93346
120.0 IPS |
|
|
Style Transfer (Q)
|
96% |
118091
152.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10366
382.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18900
697.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22115
816.6 IPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6381
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6383
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (HP)
|
100% |
5777
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5775
99.8 IPS |
