iPhone 17
Geekbench AI Score
4591
Single Precision Score
35317
Half Precision Score
48689
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 20 2026 12:03 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A19 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2177
404.9 IPS |
|
|
Image Classification (HP)
|
100% |
15782
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22383
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19001
308.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23849
386.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8495
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
152612
178.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
285768
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.8 IPS |
|
|
Object Detection (HP)
|
100% |
17295
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24426
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
39748
472.3 IPS |
|
|
Face Detection (Q)
|
100% |
51077
606.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8157
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
101917
785.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170965
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
21025
27.0 IPS |
|
|
Style Transfer (HP)
|
100% |
246802
317.3 IPS |
|
|
Style Transfer (Q)
|
96% |
348109
449.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5282
195.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54655
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85135
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3571
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6428
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6378
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10860
187.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12174
210.4 IPS |
