iPhone18,4
Geekbench AI Score
5042
Single Precision Score
35520
Half Precision Score
49205
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 23 2025 10:49 PM |
| Views | 2 |
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% |
2364
439.7 IPS |
|
|
Image Classification (HP)
|
100% |
15891
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
22294
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2076
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19090
309.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24913
403.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10126
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
153488
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
285505
334.6 IPS |
|
|
Object Detection (SP)
|
100% |
2569
203.8 IPS |
|
|
Object Detection (HP)
|
100% |
17467
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24463
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4452
52.9 IPS |
|
|
Face Detection (HP)
|
100% |
40765
484.4 IPS |
|
|
Face Detection (Q)
|
100% |
54428
646.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8312
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
102728
791.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
174247
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24657
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259517
333.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351746
453.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5567
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55777
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85967
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3458
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6399
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6468
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
4739
81.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10136
174.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11564
199.8 IPS |
