iPhone 17 Pro
Geekbench AI Score
4963
Single Precision Score
8221
Half Precision Score
6384
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | EriksLV |
| Upload Date | March 21 2026 06:02 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
2297
427.2 IPS |
|
|
Image Classification (HP)
|
100% |
3698
687.6 IPS |
|
|
Image Classification (Q)
|
96% |
2464
460.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2082
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3109
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9701
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18080
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15280
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2476
196.4 IPS |
|
|
Object Detection (HP)
|
97% |
4089
325.5 IPS |
|
|
Object Detection (Q)
|
94% |
2602
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
4202
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
7947
94.4 IPS |
|
|
Face Detection (Q)
|
100% |
4080
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8154
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13709
106.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9443
73.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23749
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36494
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29860
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5297
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6727
248.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4798
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
3474
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6659
8.89 KIPS |
|
|
Text Classification (Q)
|
93% |
6547
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5281
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9325
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9405
162.5 IPS |
