iPhone18,3
Geekbench AI Score
4616
Single Precision Score
35425
Half Precision Score
48222
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jkochar |
| Upload Date | October 05 2025 01:24 PM |
| Views | 6 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2184
406.2 IPS |
|
|
Image Classification (HP)
|
100% |
15838
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
21621
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19090
309.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24092
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8565
9.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
156337
182.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
299370
350.9 IPS |
|
|
Object Detection (SP)
|
100% |
2465
195.5 IPS |
|
|
Object Detection (HP)
|
100% |
17197
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24232
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
3540
42.1 IPS |
|
|
Face Detection (HP)
|
100% |
39039
463.9 IPS |
|
|
Face Detection (Q)
|
100% |
50316
597.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8246
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
102110
786.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159358
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22030
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
253150
325.4 IPS |
|
|
Style Transfer (Q)
|
96% |
345074
445.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5330
196.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55341
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85754
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3593
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6542
8.73 KIPS |
|
|
Text Classification (Q)
|
93% |
6463
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4110
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10481
180.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11734
202.8 IPS |
