iPhone18,3
Geekbench AI Score
4583
Single Precision Score
35278
Half Precision Score
48446
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:32 PM |
| Views | 1 |
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% |
2200
409.2 IPS |
|
|
Image Classification (HP)
|
100% |
16199
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22849
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1862
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18863
305.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24059
390.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8435
9.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
150007
175.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
276548
324.1 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
17351
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24643
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
3531
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
38300
455.1 IPS |
|
|
Face Detection (Q)
|
100% |
49263
585.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8224
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101998
785.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
161664
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
21777
28.0 IPS |
|
|
Style Transfer (HP)
|
100% |
248813
319.9 IPS |
|
|
Style Transfer (Q)
|
96% |
346783
447.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5361
198.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55065
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86328
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6497
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6508
8.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
4031
69.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10798
186.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12252
211.7 IPS |
