iPhone18,4
Geekbench AI Score
5076
Single Precision Score
34888
Half Precision Score
48781
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:56 PM |
| Views | 2 |
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
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
14575
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
21989
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19638
318.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24964
404.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10445
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
156867
183.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
294248
344.9 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
17254
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24396
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4399
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
40104
476.5 IPS |
|
|
Face Detection (Q)
|
100% |
54006
641.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8257
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100624
775.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
165986
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24547
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
257957
331.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350717
452.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5488
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55311
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82014
3.03 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6459
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6393
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4891
84.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9274
159.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11748
203.0 IPS |
