iPhone18,4
Geekbench AI Score
4822
Single Precision Score
34764
Half Precision Score
47694
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 12 2025 12:42 AM |
| Views | 80 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2327
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
15246
2.84 KIPS |
|
|
Image Classification (Q)
|
97% |
21117
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2056
33.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19223
311.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23892
387.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9485
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146857
171.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
272380
319.2 IPS |
|
|
Object Detection (SP)
|
100% |
2379
188.7 IPS |
|
|
Object Detection (HP)
|
100% |
17349
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
23686
1.89 KIPS |
|
|
Face Detection (SP)
|
100% |
3982
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
41161
489.1 IPS |
|
|
Face Detection (Q)
|
100% |
54243
644.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8215
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
99922
769.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
156018
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
22616
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
251591
323.4 IPS |
|
|
Style Transfer (Q)
|
96% |
345944
446.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5190
191.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54194
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83618
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3525
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6429
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6426
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4655
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9577
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11895
205.6 IPS |
