iPhone18,4
Geekbench AI Score
5255
Single Precision Score
35151
Half Precision Score
48198
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 12:55 AM |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (HP)
|
100% |
14719
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
21329
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19528
316.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24531
397.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10947
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160669
187.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298262
349.6 IPS |
|
|
Object Detection (SP)
|
100% |
2703
214.4 IPS |
|
|
Object Detection (HP)
|
100% |
17392
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24212
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4641
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
40629
482.8 IPS |
|
|
Face Detection (Q)
|
100% |
49901
592.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8568
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
101188
779.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
159298
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
25489
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
259460
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351504
453.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5736
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55828
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85672
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3466
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6468
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6477
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5282
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9310
160.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11550
199.6 IPS |
