iPhone 17 Pro
Geekbench AI Score
8993
Single Precision Score
16702
Half Precision Score
17317
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Dezztroyz32 |
| Upload Date | January 05 2026 08:51 AM |
| Views | 5 |
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% |
4268
793.8 IPS |
|
|
Image Classification (HP)
|
100% |
8025
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7508
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6003
97.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9475
153.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10531
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20132
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53311
62.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
57944
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
4405
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8104
642.8 IPS |
|
|
Object Detection (Q)
|
93% |
8082
644.8 IPS |
|
|
Face Detection (SP)
|
100% |
11726
139.3 IPS |
|
|
Face Detection (HP)
|
100% |
23126
274.8 IPS |
|
|
Face Detection (Q)
|
100% |
17964
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17843
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35281
271.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
38310
299.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43323
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93572
120.3 IPS |
|
|
Style Transfer (Q)
|
96% |
119291
153.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10406
384.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18653
688.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22292
823.1 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5995
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4985
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5904
101.7 IPS |
|
|
Machine Translation (Q)
|
98% |
5972
103.2 IPS |
