iPhone18,4
Geekbench AI Score
4900
Single Precision Score
34647
Half Precision Score
48210
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 09:25 PM |
| Views | 1 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2289
425.6 IPS |
|
|
Image Classification (HP)
|
100% |
15352
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
21523
4.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19503
316.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25436
412.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9761
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
146322
170.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
285727
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
2407
191.0 IPS |
|
|
Object Detection (HP)
|
100% |
17391
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24426
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4024
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
40486
481.1 IPS |
|
|
Face Detection (Q)
|
100% |
53347
633.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8249
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
100606
775.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159572
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
23989
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258255
332.0 IPS |
|
|
Style Transfer (Q)
|
96% |
346924
447.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5275
194.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54233
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80537
2.97 KIPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6376
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6345
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4919
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
8996
155.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11764
203.3 IPS |
