iPhone 17
Geekbench AI Score
4156
Single Precision Score
6628
Half Precision Score
5382
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Aymangh87 |
| Upload Date | March 18 2026 06:48 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.4 |
| 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% |
1760
327.3 IPS |
|
|
Image Classification (HP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (Q)
|
94% |
1551
289.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1644
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1773
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2879
46.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7543
8.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
14918
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12832
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
2120
168.1 IPS |
|
|
Object Detection (HP)
|
98% |
3179
252.9 IPS |
|
|
Object Detection (Q)
|
88% |
2156
172.9 IPS |
|
|
Face Detection (SP)
|
100% |
3370
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
6380
75.8 IPS |
|
|
Face Detection (Q)
|
100% |
3610
42.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6948
53.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9867
76.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
6945
54.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18154
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
35329
45.4 IPS |
|
|
Style Transfer (Q)
|
96% |
28366
36.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4471
165.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8195
302.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5205
192.2 IPS |
|
|
Text Classification (SP)
|
99% |
5644
7.53 KIPS |
|
|
Text Classification (HP)
|
99% |
9338
12.5 KIPS |
|
|
Text Classification (Q)
|
93% |
9290
12.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4855
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4801
83.0 IPS |
