iPhone 17
Geekbench AI Score
4648
Single Precision Score
7728
Half Precision Score
6209
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | February 12 2026 02:37 PM |
| Views | 15 |
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% |
2201
409.4 IPS |
|
|
Image Classification (HP)
|
100% |
3502
651.3 IPS |
|
|
Image Classification (Q)
|
96% |
2378
444.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1825
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2884
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3249
52.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9770
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
18283
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15645
18.3 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.3 IPS |
|
|
Object Detection (HP)
|
97% |
3974
316.4 IPS |
|
|
Object Detection (Q)
|
94% |
2768
220.7 IPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
7305
86.8 IPS |
|
|
Face Detection (Q)
|
100% |
4058
48.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8098
62.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13554
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9599
74.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21830
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36744
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30307
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5294
195.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6682
246.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4834
178.5 IPS |
|
|
Text Classification (SP)
|
100% |
3292
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6107
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6475
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
4305
74.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6978
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6892
119.1 IPS |
