iPhone 17
Geekbench AI Score
4572
Single Precision Score
7702
Half Precision Score
6073
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 28 2026 04:10 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2133
396.7 IPS |
|
|
Image Classification (HP)
|
100% |
3512
653.0 IPS |
|
|
Image Classification (Q)
|
96% |
2375
443.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1829
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2911
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3293
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9311
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
17416
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14723
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2364
187.5 IPS |
|
|
Object Detection (HP)
|
97% |
3928
312.7 IPS |
|
|
Object Detection (Q)
|
94% |
2584
206.0 IPS |
|
|
Face Detection (SP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
7068
84.0 IPS |
|
|
Face Detection (Q)
|
100% |
3809
45.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7786
60.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13437
103.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9301
72.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21383
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36435
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29607
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5302
195.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6778
250.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4947
182.7 IPS |
|
|
Text Classification (SP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6538
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6571
8.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4214
72.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6855
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6735
116.4 IPS |
