iPhone18,4
Geekbench AI Score
5124
Single Precision Score
35089
Half Precision Score
48404
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:25 PM |
| Views | 1 |
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% |
2347
436.5 IPS |
|
|
Image Classification (HP)
|
100% |
14786
2.75 KIPS |
|
|
Image Classification (Q)
|
97% |
22260
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19703
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24306
394.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10255
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
154199
179.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
283946
332.8 IPS |
|
|
Object Detection (SP)
|
100% |
2609
207.0 IPS |
|
|
Object Detection (HP)
|
100% |
17328
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24650
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4424
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
40235
478.1 IPS |
|
|
Face Detection (Q)
|
100% |
51697
614.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
100996
778.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
160639
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24434
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258532
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350505
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5511
203.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55759
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85174
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6416
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6358
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5261
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9672
166.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11828
204.4 IPS |
