iPhone18,4
Geekbench AI Score
4790
Single Precision Score
34666
Half Precision Score
47976
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dipsan |
| Upload Date | October 31 2025 02:19 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2319
431.3 IPS |
|
|
Image Classification (HP)
|
100% |
14572
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
22241
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19288
312.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23469
380.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9115
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
143182
167.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
266515
312.4 IPS |
|
|
Object Detection (SP)
|
100% |
2358
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
17147
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
24343
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
3857
45.8 IPS |
|
|
Face Detection (HP)
|
100% |
41048
487.7 IPS |
|
|
Face Detection (Q)
|
100% |
52790
627.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8059
62.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
99290
765.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
170714
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
22807
29.3 IPS |
|
|
Style Transfer (HP)
|
100% |
256862
330.2 IPS |
|
|
Style Transfer (Q)
|
96% |
349104
450.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5207
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54496
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79581
2.94 KIPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6464
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6446
8.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
4672
80.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9850
169.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11822
204.3 IPS |
