iPhone18,4
Geekbench AI Score
4635
Single Precision Score
32935
Half Precision Score
44868
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 28 2025 04:08 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
16198
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21659
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2028
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19268
312.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
23395
379.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8778
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
137704
160.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
265795
311.5 IPS |
|
|
Object Detection (SP)
|
100% |
2313
183.5 IPS |
|
|
Object Detection (HP)
|
100% |
16892
1.34 KIPS |
|
|
Object Detection (Q)
|
91% |
23262
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3632
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
39884
473.9 IPS |
|
|
Face Detection (Q)
|
100% |
46797
556.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7790
60.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
89388
688.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
140000
1.09 KIPS |
|
|
Style Transfer (SP)
|
100% |
21592
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
220156
283.0 IPS |
|
|
Style Transfer (Q)
|
96% |
299957
387.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5187
191.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47357
1.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79796
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3457
4.61 KIPS |
|
|
Text Classification (HP)
|
99% |
6281
8.38 KIPS |
|
|
Text Classification (Q)
|
93% |
6111
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4364
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
8861
152.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11014
190.3 IPS |
