iPhone 17
Geekbench AI Score
4560
Single Precision Score
35452
Half Precision Score
49097
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 05:56 PM |
| Views | 24 |
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% |
2165
402.6 IPS |
|
|
Image Classification (HP)
|
100% |
15680
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
22157
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1883
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19009
308.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23260
377.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8540
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
151510
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
290574
340.6 IPS |
|
|
Object Detection (SP)
|
100% |
2419
191.9 IPS |
|
|
Object Detection (HP)
|
100% |
17142
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24390
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3668
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
39817
473.1 IPS |
|
|
Face Detection (Q)
|
100% |
56855
675.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8035
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
101443
781.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
163848
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
21438
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
251302
323.1 IPS |
|
|
Style Transfer (Q)
|
96% |
347231
448.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5124
189.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55465
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86242
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3430
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
6562
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6521
8.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4163
71.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10968
188.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12251
211.7 IPS |
