iPhone18,4
Geekbench AI Score
4975
Single Precision Score
34433
Half Precision Score
48053
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | September 20 2025 11:27 AM |
| Views | 13 |
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% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
15020
2.79 KIPS |
|
|
Image Classification (Q)
|
97% |
21307
3.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2141
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19703
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24204
392.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9947
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
148508
173.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
284183
333.1 IPS |
|
|
Object Detection (SP)
|
100% |
2471
196.0 IPS |
|
|
Object Detection (HP)
|
100% |
17332
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24607
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4337
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
40859
485.5 IPS |
|
|
Face Detection (Q)
|
100% |
52715
626.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8178
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
100351
773.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
161169
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24299
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
252410
324.5 IPS |
|
|
Style Transfer (Q)
|
96% |
350555
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5326
196.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54343
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82852
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6385
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6595
8.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4662
80.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8566
147.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11186
193.3 IPS |
