iPhone 17 Pro
Geekbench AI Score
5206
Single Precision Score
8475
Half Precision Score
6699
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 26 2026 11:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
3762
699.6 IPS |
|
|
Image Classification (Q)
|
96% |
2457
458.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3038
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3407
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10956
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
19747
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16801
19.7 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
97% |
4240
337.5 IPS |
|
|
Object Detection (Q)
|
94% |
2920
232.8 IPS |
|
|
Face Detection (SP)
|
100% |
4634
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
8550
101.6 IPS |
|
|
Face Detection (Q)
|
100% |
4555
54.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8604
66.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14506
112.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10263
80.1 IPS |
|
|
Style Transfer (SP)
|
100% |
25239
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38894
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32361
41.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7025
259.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5067
187.1 IPS |
|
|
Text Classification (SP)
|
100% |
3291
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6258
8.35 KIPS |
|
|
Text Classification (Q)
|
93% |
6110
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
5330
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9429
162.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9476
163.8 IPS |
