iPhone 17
Geekbench AI Score
4645
Single Precision Score
7780
Half Precision Score
6269
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | natkat |
| Upload Date | February 05 2026 10:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2185
406.4 IPS |
|
|
Image Classification (HP)
|
100% |
3499
650.8 IPS |
|
|
Image Classification (Q)
|
96% |
2376
443.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1845
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2952
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3313
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9526
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18485
21.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16011
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2472
196.1 IPS |
|
|
Object Detection (HP)
|
97% |
3972
316.3 IPS |
|
|
Object Detection (Q)
|
94% |
2776
221.3 IPS |
|
|
Face Detection (SP)
|
100% |
3637
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7067
84.0 IPS |
|
|
Face Detection (Q)
|
100% |
4089
48.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8031
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13663
105.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9828
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21474
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37211
47.8 IPS |
|
|
Style Transfer (Q)
|
96% |
30628
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5311
196.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6914
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4902
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6453
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6628
8.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4105
70.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6689
115.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6701
115.8 IPS |
