iPhone 17 Pro
Geekbench AI Score
5050
Single Precision Score
8215
Half Precision Score
6463
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | tmaier |
| Upload Date | March 17 2026 06:40 PM |
| Views | 11 |
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% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
3675
683.4 IPS |
|
|
Image Classification (Q)
|
96% |
2436
454.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2984
48.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3366
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9662
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17315
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15417
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
2555
202.7 IPS |
|
|
Object Detection (HP)
|
97% |
4020
320.1 IPS |
|
|
Object Detection (Q)
|
94% |
2749
219.1 IPS |
|
|
Face Detection (SP)
|
100% |
4376
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
8165
97.0 IPS |
|
|
Face Detection (Q)
|
100% |
4169
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8306
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13884
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9711
75.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24047
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37018
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30716
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5367
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6899
254.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4927
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3594
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6436
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6387
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9850
170.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9360
161.8 IPS |
