iPhone18,1
Geekbench AI Score
5184
Single Precision Score
35839
Half Precision Score
48744
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ___ |
| Upload Date | September 19 2025 09:49 AM |
| Views | 6 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.6 IPS |
|
|
Image Classification (HP)
|
100% |
16112
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22244
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20047
325.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
26058
422.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10399
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
155733
181.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
289692
339.5 IPS |
|
|
Object Detection (SP)
|
100% |
2693
213.6 IPS |
|
|
Object Detection (HP)
|
100% |
17478
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25145
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4570
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
41001
487.2 IPS |
|
|
Face Detection (Q)
|
100% |
51488
611.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8528
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
103963
801.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
162266
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24426
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
256491
329.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351496
453.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5677
209.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55523
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85339
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
5920
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6480
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5294
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11065
190.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11045
190.9 IPS |
