iPhone18,4
Geekbench AI Score
4843
Single Precision Score
34028
Half Precision Score
46721
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 18 2025 07:20 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2318
431.1 IPS |
|
|
Image Classification (HP)
|
100% |
14604
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
21305
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19535
316.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25018
405.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9504
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147163
171.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
265661
311.4 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
17341
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24214
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
3940
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
36873
438.1 IPS |
|
|
Face Detection (Q)
|
100% |
53303
633.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8298
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
97876
754.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
144674
1.13 KIPS |
|
|
Style Transfer (SP)
|
100% |
22326
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
220454
283.4 IPS |
|
|
Style Transfer (Q)
|
96% |
315750
407.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5297
195.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54455
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79934
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3479
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6498
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6390
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4971
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10158
175.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11622
200.8 IPS |
