iPhone18,4
Geekbench AI Score
4995
Single Precision Score
35236
Half Precision Score
48376
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2318
431.0 IPS |
|
|
Image Classification (HP)
|
100% |
14760
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
21251
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19566
317.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24618
399.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9771
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153182
178.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
285379
334.5 IPS |
|
|
Object Detection (SP)
|
100% |
2537
201.2 IPS |
|
|
Object Detection (HP)
|
100% |
17475
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24834
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4192
49.8 IPS |
|
|
Face Detection (HP)
|
100% |
40954
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
53526
636.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8208
63.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
101069
778.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
172233
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
23785
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
256131
329.3 IPS |
|
|
Style Transfer (Q)
|
96% |
350453
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54898
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81191
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6423
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6346
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
5200
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10209
175.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11375
196.6 IPS |
