iPhone 17 Pro
Geekbench AI Score
5179
Single Precision Score
8416
Half Precision Score
6584
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | vacantsouls |
| Upload Date | March 08 2026 06:01 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2372
441.0 IPS |
|
|
Image Classification (HP)
|
100% |
3763
699.9 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3009
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10722
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18955
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
16127
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.5 IPS |
|
|
Object Detection (HP)
|
97% |
4206
334.8 IPS |
|
|
Object Detection (Q)
|
94% |
2847
226.9 IPS |
|
|
Face Detection (SP)
|
100% |
4526
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8453
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4368
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8487
65.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14268
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10031
78.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24829
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38290
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
31382
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5523
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6953
256.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4986
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6445
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6134
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5330
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9549
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9356
161.7 IPS |
