iPhone18,4
Geekbench AI Score
5044
Single Precision Score
35147
Half Precision Score
48530
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | anthonynelzin |
| Upload Date | September 19 2025 12:38 PM |
| Views | 8 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
14852
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
21272
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2132
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19539
316.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24822
402.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10427
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
154484
180.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
286389
335.7 IPS |
|
|
Object Detection (SP)
|
100% |
2597
206.0 IPS |
|
|
Object Detection (HP)
|
100% |
17363
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24604
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4221
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
40372
479.7 IPS |
|
|
Face Detection (Q)
|
100% |
54426
646.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8124
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101151
779.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162206
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24379
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
256492
329.7 IPS |
|
|
Style Transfer (Q)
|
96% |
347800
448.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5308
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59197
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82496
3.05 KIPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6380
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6498
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5058
87.1 IPS |
|
|
Machine Translation (HP)
|
100% |
9344
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11834
204.5 IPS |
