iPhone 17
Geekbench AI Score
7983
Single Precision Score
15547
Half Precision Score
15581
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 09:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| Model | iPhone 17 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | Apple A19 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3614
672.1 IPS |
|
|
Image Classification (HP)
|
100% |
6959
1.29 KIPS |
|
|
Image Classification (Q)
|
97% |
6277
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5048
81.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8658
140.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8977
145.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
18227
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49444
57.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
58804
68.9 IPS |
|
|
Object Detection (SP)
|
100% |
3888
308.4 IPS |
|
|
Object Detection (HP)
|
100% |
7284
577.8 IPS |
|
|
Object Detection (Q)
|
93% |
6811
543.4 IPS |
|
|
Face Detection (SP)
|
100% |
9371
111.4 IPS |
|
|
Face Detection (HP)
|
100% |
19318
229.5 IPS |
|
|
Face Detection (Q)
|
100% |
14745
175.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15830
122.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33747
260.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
35207
274.9 IPS |
|
|
Style Transfer (SP)
|
100% |
38527
49.5 IPS |
|
|
Style Transfer (HP)
|
100% |
90031
115.7 IPS |
|
|
Style Transfer (Q)
|
96% |
105575
136.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9157
338.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18327
676.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19135
706.6 IPS |
|
|
Text Classification (SP)
|
100% |
3461
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6436
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6399
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4492
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5494
94.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5571
96.3 IPS |
