iPhone18,1
Geekbench AI Score
4957
Single Precision Score
36681
Half Precision Score
49184
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | homee313 |
| Upload Date | November 15 2025 12:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
16847
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
23491
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2117
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19843
321.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25634
415.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9968
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
153229
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
285656
334.8 IPS |
|
|
Object Detection (SP)
|
100% |
2256
179.0 IPS |
|
|
Object Detection (HP)
|
100% |
18058
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
22838
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3878
46.1 IPS |
|
|
Face Detection (HP)
|
100% |
41276
490.5 IPS |
|
|
Face Detection (Q)
|
100% |
50105
595.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104509
805.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170725
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24391
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258449
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
350584
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5368
198.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59217
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85422
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6521
8.70 KIPS |
|
|
Text Classification (Q)
|
93% |
6498
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5294
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11074
190.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12668
218.9 IPS |
