iPhone18,1
Geekbench AI Score
4690
Single Precision Score
36047
Half Precision Score
49110
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Ian_E |
| Upload Date | September 20 2025 12:06 AM |
| 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 | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2220
412.9 IPS |
|
|
Image Classification (HP)
|
100% |
16917
3.15 KIPS |
|
|
Image Classification (Q)
|
97% |
22691
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19260
312.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23974
388.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
8533
9.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
137697
160.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
257096
301.3 IPS |
|
|
Object Detection (SP)
|
100% |
2355
186.8 IPS |
|
|
Object Detection (HP)
|
100% |
18129
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
24968
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
3904
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
40663
483.2 IPS |
|
|
Face Detection (Q)
|
100% |
58821
698.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8036
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102088
786.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
172149
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
22637
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
256670
330.0 IPS |
|
|
Style Transfer (Q)
|
96% |
326207
421.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5113
188.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56278
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87939
3.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3605
4.81 KIPS |
|
|
Text Classification (HP)
|
99% |
6713
8.96 KIPS |
|
|
Text Classification (Q)
|
93% |
6738
9.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
4548
78.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11316
194.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11941
206.4 IPS |
