iPhone18,3
Geekbench AI Score
4404
Single Precision Score
35136
Half Precision Score
47642
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 18 2025 01:20 AM |
| Views | 1 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2164
402.5 IPS |
|
|
Image Classification (HP)
|
100% |
16521
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22385
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1807
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18597
301.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
22865
370.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8031
9.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
145434
169.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
264995
310.6 IPS |
|
|
Object Detection (SP)
|
100% |
2391
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
17282
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24573
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3349
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
38613
458.8 IPS |
|
|
Face Detection (Q)
|
100% |
49926
593.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7870
60.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
99428
766.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
161552
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20264
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
245077
315.1 IPS |
|
|
Style Transfer (Q)
|
96% |
345036
445.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55892
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84119
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6462
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6395
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10929
188.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12074
208.7 IPS |
