iPhone18,1
Geekbench AI Score
4914
Single Precision Score
35861
Half Precision Score
48709
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MagicalWig34653 |
| Upload Date | September 20 2025 05:27 AM |
| Views | 10 |
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% |
2336
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
16724
3.11 KIPS |
|
|
Image Classification (Q)
|
97% |
21647
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19334
313.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23609
382.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9274
10.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
148824
173.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
274892
322.2 IPS |
|
|
Object Detection (SP)
|
100% |
2463
195.3 IPS |
|
|
Object Detection (HP)
|
100% |
17401
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25024
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4213
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
40383
479.8 IPS |
|
|
Face Detection (Q)
|
100% |
54374
646.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8168
62.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102509
789.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
165583
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23444
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
256769
330.1 IPS |
|
|
Style Transfer (Q)
|
96% |
349619
451.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5270
194.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55533
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84340
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6382
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6453
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4858
83.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11152
192.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12483
215.7 IPS |
