iPhone18,3
Geekbench AI Score
4424
Single Precision Score
35135
Half Precision Score
48380
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:53 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% |
2159
401.5 IPS |
|
|
Image Classification (HP)
|
100% |
16209
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
23671
4.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1830
29.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18744
303.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
23713
384.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8265
9.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
147410
172.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
275835
323.3 IPS |
|
|
Object Detection (SP)
|
100% |
2460
195.1 IPS |
|
|
Object Detection (HP)
|
100% |
17345
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24617
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
3592
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
39082
464.4 IPS |
|
|
Face Detection (Q)
|
100% |
48385
574.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8109
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
101202
779.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166314
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
20465
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
247016
317.5 IPS |
|
|
Style Transfer (Q)
|
96% |
345693
446.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5081
187.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54971
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84980
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6398
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6490
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
3362
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10742
185.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12015
207.6 IPS |
