iPhone18,3
Geekbench AI Score
4633
Single Precision Score
7823
Half Precision Score
6313
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 13 2025 03:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2197
408.6 IPS |
|
|
Image Classification (HP)
|
100% |
3494
649.7 IPS |
|
|
Image Classification (Q)
|
96% |
2376
443.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1869
30.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3014
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3331
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8809
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19191
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16509
19.4 IPS |
|
|
Object Detection (SP)
|
100% |
2503
198.5 IPS |
|
|
Object Detection (HP)
|
97% |
4006
318.9 IPS |
|
|
Object Detection (Q)
|
94% |
2810
224.0 IPS |
|
|
Face Detection (SP)
|
100% |
3626
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
7254
86.2 IPS |
|
|
Face Detection (Q)
|
100% |
4264
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8221
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13905
107.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9906
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21998
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37348
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31091
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6745
249.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4965
183.3 IPS |
|
|
Text Classification (SP)
|
100% |
3267
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5987
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
6017
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
4325
74.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6979
120.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6983
120.7 IPS |
