iPhone18,3
Geekbench AI Score
4445
Single Precision Score
33000
Half Precision Score
46816
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | simplemal |
| Upload Date | November 19 2025 01:58 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2117
393.6 IPS |
|
|
Image Classification (HP)
|
100% |
14316
2.66 KIPS |
|
|
Image Classification (Q)
|
97% |
19751
3.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18166
294.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23556
381.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8961
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
142158
165.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
294504
345.2 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
16169
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
23540
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
3448
41.0 IPS |
|
|
Face Detection (HP)
|
100% |
37386
444.2 IPS |
|
|
Face Detection (Q)
|
100% |
50252
597.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7718
59.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
85802
661.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
160529
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
19709
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
222557
286.1 IPS |
|
|
Style Transfer (Q)
|
96% |
311921
402.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5139
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51829
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79306
2.93 KIPS |
|
|
Text Classification (SP)
|
100% |
3361
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
6558
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6389
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10559
181.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12301
212.6 IPS |
