iPhone18,1
Geekbench AI Score
5143
Single Precision Score
36421
Half Precision Score
48999
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 03:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2332
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
16418
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
21881
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2104
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20316
329.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25907
420.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10383
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
156333
182.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291809
342.0 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.5 IPS |
|
|
Object Detection (HP)
|
100% |
18054
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25726
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4641
55.1 IPS |
|
|
Face Detection (HP)
|
100% |
40693
483.5 IPS |
|
|
Face Detection (Q)
|
100% |
53792
639.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8349
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105413
812.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
163613
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24505
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259625
333.8 IPS |
|
|
Style Transfer (Q)
|
96% |
352021
454.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5414
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59568
2.20 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86806
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3263
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5871
7.84 KIPS |
|
|
Text Classification (Q)
|
93% |
5796
7.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5719
98.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11201
192.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12027
207.8 IPS |
