iPhone18,4
Geekbench AI Score
5126
Single Precision Score
35033
Half Precision Score
48258
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:18 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2354
437.7 IPS |
|
|
Image Classification (HP)
|
100% |
14621
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
21166
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19414
314.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24678
400.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10229
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
158202
184.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
297219
348.4 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
100% |
17472
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24617
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4401
52.3 IPS |
|
|
Face Detection (HP)
|
100% |
40610
482.5 IPS |
|
|
Face Detection (Q)
|
100% |
49495
588.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8488
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
101456
781.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
166877
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24679
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
258895
332.8 IPS |
|
|
Style Transfer (Q)
|
96% |
351022
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5535
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54419
2.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82804
3.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6534
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6476
8.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
5279
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9359
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11529
199.2 IPS |
