iPhone18,4
Geekbench AI Score
4687
Single Precision Score
33829
Half Precision Score
45242
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 01:20 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% |
2323
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
15340
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20903
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19859
321.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24129
391.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9366
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
144825
169.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
268304
314.5 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
100% |
17257
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24706
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4088
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
40893
485.9 IPS |
|
|
Face Detection (Q)
|
100% |
52689
626.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8043
62.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
99384
765.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
155135
1.21 KIPS |
|
|
Style Transfer (SP)
|
100% |
21890
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
220556
283.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303372
391.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5212
192.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51251
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78588
2.90 KIPS |
|
|
Text Classification (SP)
|
100% |
3391
4.53 KIPS |
|
|
Text Classification (HP)
|
99% |
5961
7.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5688
7.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
3871
66.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9415
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9696
167.6 IPS |
