iPhone 17
Geekbench AI Score
4153
Single Precision Score
6700
Half Precision Score
5403
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Aymangh87 |
| Upload Date | March 18 2026 10:22 AM |
| Views | 11 |
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% |
1795
333.9 IPS |
|
|
Image Classification (HP)
|
100% |
2457
457.0 IPS |
|
|
Image Classification (Q)
|
94% |
1673
312.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1682
27.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1946
31.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2888
46.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7529
8.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
14958
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12888
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
2115
167.8 IPS |
|
|
Object Detection (HP)
|
98% |
3202
254.8 IPS |
|
|
Object Detection (Q)
|
88% |
2126
170.4 IPS |
|
|
Face Detection (SP)
|
100% |
3238
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
6369
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
3656
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6961
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9623
74.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6864
53.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18239
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
35559
45.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28469
36.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4464
164.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8249
304.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5174
191.1 IPS |
|
|
Text Classification (SP)
|
99% |
5471
7.30 KIPS |
|
|
Text Classification (HP)
|
99% |
9185
12.3 KIPS |
|
|
Text Classification (Q)
|
93% |
9102
12.2 KIPS |
|
|
Machine Translation (SP)
|
100% |
3162
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4824
83.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4764
82.3 IPS |
