iPhone 17
Geekbench AI Score
4684
Single Precision Score
35427
Half Precision Score
47821
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | February 06 2026 09:45 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
15739
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
21180
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1809
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18834
305.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24240
392.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9881
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160433
187.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
299571
351.1 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
17328
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24413
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3722
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
40146
477.0 IPS |
|
|
Face Detection (Q)
|
100% |
48258
573.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8360
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101974
785.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
158348
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
22235
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
251450
323.2 IPS |
|
|
Style Transfer (Q)
|
96% |
346916
447.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5433
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56889
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85619
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3252
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6170
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6260
8.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10459
180.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11725
202.6 IPS |
