iPhone18,3
Geekbench AI Score
4657
Single Precision Score
35306
Half Precision Score
48288
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 08:20 AM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2211
411.3 IPS |
|
|
Image Classification (HP)
|
100% |
15705
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
22828
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1904
30.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18929
306.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
22959
372.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8488
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
147480
172.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
285319
334.4 IPS |
|
|
Object Detection (SP)
|
100% |
2469
195.9 IPS |
|
|
Object Detection (HP)
|
100% |
17295
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25047
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
39951
474.7 IPS |
|
|
Face Detection (Q)
|
100% |
50405
598.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8302
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101543
782.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162416
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
22168
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
250200
321.6 IPS |
|
|
Style Transfer (Q)
|
96% |
345727
446.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5410
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55431
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84991
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3592
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6484
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6396
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10882
187.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11963
206.7 IPS |
