iPhone18,1
Geekbench AI Score
5127
Single Precision Score
36133
Half Precision Score
49102
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | deleavell |
| Upload Date | December 26 2025 05:23 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2349
436.9 IPS |
|
|
Image Classification (HP)
|
100% |
16225
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22305
4.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20188
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25003
405.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9759
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
155363
181.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
297561
348.8 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.7 IPS |
|
|
Object Detection (HP)
|
100% |
17626
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25247
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4567
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
41051
487.8 IPS |
|
|
Face Detection (Q)
|
100% |
51478
611.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8487
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
104610
806.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
168848
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
25034
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258675
332.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351779
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5707
210.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56827
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86292
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3412
4.55 KIPS |
|
|
Text Classification (HP)
|
99% |
6024
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5941
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
5237
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11124
191.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12406
214.4 IPS |
