iPhone18,4
Geekbench AI Score
4596
Single Precision Score
31921
Half Precision Score
43531
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | September 22 2025 02:05 PM |
| Views | 3 |
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 | 4.09 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2303
428.3 IPS |
|
|
Image Classification (HP)
|
100% |
14912
2.77 KIPS |
|
|
Image Classification (Q)
|
97% |
21283
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1977
32.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19476
315.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23876
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9093
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
140234
163.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
253902
297.6 IPS |
|
|
Object Detection (SP)
|
100% |
2304
182.7 IPS |
|
|
Object Detection (HP)
|
100% |
17204
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
22359
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
3738
44.4 IPS |
|
|
Face Detection (HP)
|
100% |
32914
391.1 IPS |
|
|
Face Detection (Q)
|
100% |
44396
527.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7766
59.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
79665
613.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
129455
1.01 KIPS |
|
|
Style Transfer (SP)
|
100% |
19315
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
206313
265.2 IPS |
|
|
Style Transfer (Q)
|
96% |
285547
368.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5170
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48663
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
75324
2.78 KIPS |
|
|
Text Classification (SP)
|
100% |
3460
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6219
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6198
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4403
75.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9578
165.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11056
191.1 IPS |
