iPhone18,4
Geekbench AI Score
5059
Single Precision Score
35009
Half Precision Score
48380
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 27 2025 10:02 PM |
| Views | 4 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2357
438.4 IPS |
|
|
Image Classification (HP)
|
100% |
14683
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
20621
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19695
319.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25320
410.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10448
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153152
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
285260
334.3 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
17303
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24316
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4178
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
41039
487.6 IPS |
|
|
Face Detection (Q)
|
100% |
53514
635.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8220
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
100916
777.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
164918
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23703
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
257882
331.5 IPS |
|
|
Style Transfer (Q)
|
96% |
347966
449.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5257
194.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54379
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83895
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3592
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6367
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5286
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9702
167.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11827
204.4 IPS |
