iPhone18,3
Geekbench AI Score
4601
Single Precision Score
35318
Half Precision Score
47521
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 04:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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
404.7 IPS |
|
|
Image Classification (HP)
|
100% |
16180
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22438
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19032
308.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23821
386.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8780
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
158459
184.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
299250
350.7 IPS |
|
|
Object Detection (SP)
|
100% |
2512
199.2 IPS |
|
|
Object Detection (HP)
|
100% |
17176
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24322
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
3709
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
39224
466.1 IPS |
|
|
Face Detection (Q)
|
100% |
50922
605.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8152
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
102066
786.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
157157
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
21463
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
253319
325.6 IPS |
|
|
Style Transfer (Q)
|
96% |
347017
447.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5358
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55919
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85919
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3207
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
5881
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5716
7.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4352
75.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10805
186.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11069
191.3 IPS |
