iPhone18,3
Geekbench AI Score
4181
Single Precision Score
34185
Half Precision Score
48041
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | balazskake |
| Upload Date | September 22 2025 06:09 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2136
397.2 IPS |
|
|
Image Classification (HP)
|
100% |
15959
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
22649
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1532
24.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18663
302.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22772
369.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7623
8.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
137917
160.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
265440
311.1 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
100% |
17676
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
24837
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
3222
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
38419
456.5 IPS |
|
|
Face Detection (Q)
|
100% |
52664
625.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7752
59.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
99085
763.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167713
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
19720
25.4 IPS |
|
|
Style Transfer (HP)
|
100% |
249304
320.5 IPS |
|
|
Style Transfer (Q)
|
96% |
341067
440.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4729
174.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58249
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86452
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3422
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
5337
7.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6410
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10177
175.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11537
199.4 IPS |
