iPhone18,1
Geekbench AI Score
4811
Single Precision Score
35956
Half Precision Score
49340
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | richh- |
| Upload Date | October 06 2025 07:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2335
434.2 IPS |
|
|
Image Classification (HP)
|
100% |
16339
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
23211
4.33 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19377
314.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23645
383.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9199
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
148645
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
276403
324.0 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.9 IPS |
|
|
Object Detection (HP)
|
100% |
17953
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25297
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3942
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
40641
482.9 IPS |
|
|
Face Detection (Q)
|
100% |
54834
651.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7951
61.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
103768
799.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
168864
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
22546
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
257048
330.4 IPS |
|
|
Style Transfer (Q)
|
96% |
347611
448.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5202
192.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55299
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86983
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3449
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6375
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6430
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5076
87.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11189
192.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12378
213.9 IPS |
