iPhone 17
Geekbench AI Score
8022
Single Precision Score
15535
Half Precision Score
15611
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 17 2026 07:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
3618
672.9 IPS |
|
|
Image Classification (HP)
|
100% |
7065
1.31 KIPS |
|
|
Image Classification (Q)
|
97% |
6425
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5022
81.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8662
140.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9074
147.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18218
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49080
57.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57923
67.9 IPS |
|
|
Object Detection (SP)
|
100% |
3941
312.6 IPS |
|
|
Object Detection (HP)
|
100% |
7433
589.6 IPS |
|
|
Object Detection (Q)
|
93% |
6807
543.1 IPS |
|
|
Face Detection (SP)
|
100% |
9385
111.5 IPS |
|
|
Face Detection (HP)
|
100% |
19283
229.1 IPS |
|
|
Face Detection (Q)
|
100% |
14340
170.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15686
120.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33507
258.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35378
276.2 IPS |
|
|
Style Transfer (SP)
|
100% |
38783
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
89628
115.2 IPS |
|
|
Style Transfer (Q)
|
96% |
106098
136.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9248
341.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18329
676.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19394
716.1 IPS |
|
|
Text Classification (SP)
|
100% |
3497
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6488
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4582
78.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5327
91.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5553
96.0 IPS |
