iPhone 17 Pro iPhone18,1
Geekbench AI Score
5088
Single Precision Score
36378
Half Precision Score
49353
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cuber |
| Upload Date | September 23 2025 08:19 PM |
| Views | 7 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2298
427.3 IPS |
|
|
Image Classification (HP)
|
100% |
16490
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
21631
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20455
331.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25758
417.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10392
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
159291
185.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292052
342.3 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
100% |
17476
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25093
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4599
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
41064
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
55709
661.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8274
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
105426
812.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
169600
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24049
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
259243
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
353262
455.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5592
206.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57132
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85274
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5986
7.99 KIPS |
|
|
Text Classification (Q)
|
93% |
5870
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
5235
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11262
194.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12568
217.2 IPS |
