iPhone 17
Geekbench AI Score
4629
Single Precision Score
7741
Half Precision Score
6164
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 10 2026 05:35 PM |
| Views | 1 |
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% |
2182
405.7 IPS |
|
|
Image Classification (HP)
|
100% |
3516
653.9 IPS |
|
|
Image Classification (Q)
|
96% |
2366
441.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2946
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3308
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9472
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17638
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15091
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.2 IPS |
|
|
Object Detection (HP)
|
97% |
3885
309.3 IPS |
|
|
Object Detection (Q)
|
94% |
2699
215.1 IPS |
|
|
Face Detection (SP)
|
100% |
3553
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7171
85.2 IPS |
|
|
Face Detection (Q)
|
100% |
3931
46.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8073
62.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13680
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9538
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21678
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36991
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30350
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5205
192.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6845
252.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4880
180.2 IPS |
|
|
Text Classification (SP)
|
100% |
3607
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6520
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6472
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4218
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6727
116.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6913
119.5 IPS |
