iPhone18,3
Geekbench AI Score
4177
Single Precision Score
34363
Half Precision Score
47103
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 22 2025 06:31 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2067
384.3 IPS |
|
|
Image Classification (HP)
|
100% |
16241
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21513
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18150
294.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
22985
372.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7293
8.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
130400
152.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
243293
285.2 IPS |
|
|
Object Detection (SP)
|
100% |
2188
173.5 IPS |
|
|
Object Detection (HP)
|
100% |
17363
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
23874
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
3030
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
38929
462.6 IPS |
|
|
Face Detection (Q)
|
100% |
55385
658.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7369
56.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98081
755.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
156059
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
19683
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
235031
302.1 IPS |
|
|
Style Transfer (Q)
|
96% |
335825
433.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4778
176.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56196
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84161
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6318
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6284
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
3980
68.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10797
186.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12196
210.8 IPS |
