iPhone18,1
Geekbench AI Score
5111
Single Precision Score
36208
Half Precision Score
49901
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | i0ntempest |
| Upload Date | September 21 2025 02:17 PM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2358
438.5 IPS |
|
|
Image Classification (HP)
|
100% |
16099
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22769
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20122
326.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25579
414.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10130
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
152206
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
282509
331.1 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
100% |
17455
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25719
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4489
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
40427
480.4 IPS |
|
|
Face Detection (Q)
|
100% |
56016
665.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8411
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104529
805.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167097
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24019
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
252780
325.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351747
453.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5413
199.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56438
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85259
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6654
8.88 KIPS |
|
|
Text Classification (Q)
|
93% |
6428
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5284
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11221
193.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12540
216.7 IPS |
