iPhone18,4
Geekbench AI Score
5024
Single Precision Score
35809
Half Precision Score
48625
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 06:52 PM |
| Views | 1 |
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% |
2329
433.2 IPS |
|
|
Image Classification (HP)
|
100% |
16763
3.12 KIPS |
|
|
Image Classification (Q)
|
97% |
22797
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2088
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19659
318.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24703
400.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10237
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152583
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
285592
334.7 IPS |
|
|
Object Detection (SP)
|
100% |
2454
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
17327
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24615
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4417
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
40881
485.8 IPS |
|
|
Face Detection (Q)
|
100% |
52598
625.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8212
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101336
780.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
164246
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24679
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
253758
326.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351994
454.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5365
198.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55036
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82011
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3495
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6463
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6398
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5005
86.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10644
183.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11699
202.2 IPS |
