iPhone18,3
Geekbench AI Score
4563
Single Precision Score
35322
Half Precision Score
48399
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 04 2025 10:26 PM |
| Views | 1 |
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 | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2160
401.8 IPS |
|
|
Image Classification (HP)
|
100% |
16247
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22377
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18760
304.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24063
390.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8497
9.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
158169
184.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294240
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2458
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
17310
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24381
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3656
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
39604
470.6 IPS |
|
|
Face Detection (Q)
|
100% |
52172
619.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8083
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101943
785.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
164931
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21561
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
251049
322.7 IPS |
|
|
Style Transfer (Q)
|
96% |
345568
445.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56880
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87583
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3283
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5914
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5773
7.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
4283
73.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10626
183.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12146
209.9 IPS |
