iPhone18,4
Geekbench AI Score
5056
Single Precision Score
35152
Half Precision Score
48277
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 02:24 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2337
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
14747
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
20959
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19703
319.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25179
408.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10607
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
155237
181.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
297597
348.8 IPS |
|
|
Object Detection (SP)
|
100% |
2591
205.5 IPS |
|
|
Object Detection (HP)
|
100% |
17318
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24281
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4418
52.5 IPS |
|
|
Face Detection (HP)
|
100% |
40661
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
53619
637.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8327
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104686
806.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160290
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
24560
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259159
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
349487
451.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5571
205.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55075
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
82401
3.04 KIPS |
|
|
Text Classification (SP)
|
100% |
3510
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6380
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6306
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4561
78.6 IPS |
|
|
Machine Translation (HP)
|
100% |
9516
163.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11557
199.7 IPS |
