iPhone 17
Geekbench AI Score
4492
Single Precision Score
7695
Half Precision Score
6014
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 12 2026 12:27 PM |
| Views | 8 |
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% |
2049
381.1 IPS |
|
|
Image Classification (HP)
|
100% |
3512
653.1 IPS |
|
|
Image Classification (Q)
|
96% |
2292
427.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1864
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2905
47.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3081
49.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8915
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16842
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14404
16.9 IPS |
|
|
Object Detection (SP)
|
100% |
2221
176.2 IPS |
|
|
Object Detection (HP)
|
97% |
3923
312.3 IPS |
|
|
Object Detection (Q)
|
94% |
2557
203.8 IPS |
|
|
Face Detection (SP)
|
100% |
3527
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
7062
83.9 IPS |
|
|
Face Detection (Q)
|
100% |
3802
45.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8041
61.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13394
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9451
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21186
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37356
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30324
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4909
181.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6917
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3589
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6532
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6493
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4184
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6767
116.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6728
116.3 IPS |
