iPhone18,3
Geekbench AI Score
4451
Single Precision Score
35290
Half Precision Score
48490
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:42 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2164
402.4 IPS |
|
|
Image Classification (HP)
|
100% |
16173
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22410
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18982
307.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23132
375.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8179
9.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
146028
170.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
276466
324.0 IPS |
|
|
Object Detection (SP)
|
100% |
2375
188.4 IPS |
|
|
Object Detection (HP)
|
100% |
17446
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24529
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3402
40.4 IPS |
|
|
Face Detection (HP)
|
100% |
39867
473.7 IPS |
|
|
Face Detection (Q)
|
100% |
52594
624.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8018
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
99108
763.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
165895
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
20254
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
249996
321.4 IPS |
|
|
Style Transfer (Q)
|
96% |
343367
443.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4928
182.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55340
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87623
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6393
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6357
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3966
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10962
188.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12252
211.7 IPS |
