iPhone18,1
Geekbench AI Score
5059
Single Precision Score
36201
Half Precision Score
49337
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | owine |
| Upload Date | September 20 2025 02:18 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% |
2317
430.8 IPS |
|
|
Image Classification (HP)
|
100% |
16581
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
21957
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20094
325.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24540
397.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9621
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
150401
175.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
275948
323.4 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
17337
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25686
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4409
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
40417
480.2 IPS |
|
|
Face Detection (Q)
|
100% |
53845
639.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104602
805.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
173228
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24268
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258234
332.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351053
453.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5568
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56772
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85513
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3522
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6418
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5252
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11188
192.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12462
215.4 IPS |
