iPhone 17
Geekbench AI Score
4611
Single Precision Score
7781
Half Precision Score
6151
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 09:50 PM |
| Views | 3 |
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% |
2178
405.0 IPS |
|
|
Image Classification (HP)
|
100% |
3548
659.9 IPS |
|
|
Image Classification (Q)
|
96% |
2389
446.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1853
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2878
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3290
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8584
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17804
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15276
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2405
190.8 IPS |
|
|
Object Detection (HP)
|
97% |
4012
319.4 IPS |
|
|
Object Detection (Q)
|
94% |
2662
212.2 IPS |
|
|
Face Detection (SP)
|
100% |
3609
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7242
86.1 IPS |
|
|
Face Detection (Q)
|
100% |
3901
46.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13705
105.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9564
74.6 IPS |
|
|
Style Transfer (SP)
|
100% |
21834
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37288
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30643
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6855
253.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4933
182.1 IPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6478
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4295
74.0 IPS |
|
|
Machine Translation (HP)
|
98% |
6788
117.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6670
115.3 IPS |
