iPhone 17
Geekbench AI Score
4620
Single Precision Score
7719
Half Precision Score
6216
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | March 02 2026 10:53 AM |
| Views | 12 |
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% |
2172
404.0 IPS |
|
|
Image Classification (HP)
|
100% |
2930
544.9 IPS |
|
|
Image Classification (Q)
|
94% |
2035
380.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2212
35.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3307
53.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7156
8.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14433
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
12571
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
98% |
3833
305.0 IPS |
|
|
Object Detection (Q)
|
88% |
2558
205.1 IPS |
|
|
Face Detection (SP)
|
100% |
3740
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
7905
93.9 IPS |
|
|
Face Detection (Q)
|
100% |
4083
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7281
56.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11075
85.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7889
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18945
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38925
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31124
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4541
167.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8854
327.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5824
215.0 IPS |
|
|
Text Classification (SP)
|
99% |
6427
8.58 KIPS |
|
|
Text Classification (HP)
|
99% |
10741
14.3 KIPS |
|
|
Text Classification (Q)
|
93% |
10537
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
4159
71.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6469
111.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6472
111.8 IPS |
