iPhone18,1
Geekbench AI Score
5163
Single Precision Score
36439
Half Precision Score
49155
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Moklonus |
| Upload Date | September 21 2025 06:35 PM |
| Views | 5 |
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% |
2342
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
16675
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
22161
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2155
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20524
332.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25326
410.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10378
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
159383
186.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
287976
337.5 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
17557
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25143
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4670
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
40748
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
49685
590.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8561
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105671
814.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
174480
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24511
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258473
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351228
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5542
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56622
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85375
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3335
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
6131
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6241
8.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
5276
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11157
192.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12493
215.9 IPS |
