iPhone 17 Pro
Geekbench AI Score
5150
Single Precision Score
8428
Half Precision Score
6602
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | December 29 2025 06:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
3743
696.1 IPS |
|
|
Image Classification (Q)
|
96% |
2501
467.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3067
49.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3391
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10767
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19089
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16361
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (HP)
|
97% |
4182
332.9 IPS |
|
|
Object Detection (Q)
|
94% |
2863
228.2 IPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8516
101.2 IPS |
|
|
Face Detection (Q)
|
100% |
4420
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8483
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14329
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10078
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24835
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38699
49.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31787
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7020
259.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3201
4.27 KIPS |
|
|
Text Classification (HP)
|
99% |
6229
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
5922
7.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5333
91.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9556
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9457
163.4 IPS |
