iPhone17 iPhone18,3
Geekbench AI Score
4602
Single Precision Score
35195
Half Precision Score
48892
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RG22032 |
| Upload Date | October 17 2025 12:10 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| 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% |
2176
404.8 IPS |
|
|
Image Classification (HP)
|
100% |
15780
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22411
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1822
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18803
304.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24207
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8600
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
151780
177.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
277479
325.2 IPS |
|
|
Object Detection (SP)
|
100% |
2488
197.4 IPS |
|
|
Object Detection (HP)
|
100% |
17325
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24570
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3654
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
38304
455.1 IPS |
|
|
Face Detection (Q)
|
100% |
54038
642.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8047
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
102012
785.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163180
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
21570
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
249996
321.4 IPS |
|
|
Style Transfer (Q)
|
96% |
346029
446.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5292
195.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55240
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86137
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3568
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6475
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6536
8.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
4200
72.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10699
184.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12285
212.3 IPS |
