iPhone18,5
Geekbench AI Score
4501
Single Precision Score
35479
Half Precision Score
48489
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Raymond110168 |
| Upload Date | March 15 2026 11:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| Model | iPhone18,5 |
| Model ID | iPhone18,5 |
| Motherboard | V159AP |
| 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 | 7.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2132
396.4 IPS |
|
|
Image Classification (HP)
|
100% |
15717
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
22414
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1884
30.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18861
305.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23756
385.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8122
9.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
149489
174.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
284519
333.5 IPS |
|
|
Object Detection (SP)
|
100% |
2414
191.5 IPS |
|
|
Object Detection (HP)
|
100% |
17296
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24167
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
39468
469.0 IPS |
|
|
Face Detection (Q)
|
100% |
51625
613.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8001
61.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101979
785.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167658
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
20335
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
252487
324.6 IPS |
|
|
Style Transfer (Q)
|
96% |
346963
447.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4979
183.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56859
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84116
3.11 KIPS |
|
|
Text Classification (SP)
|
100% |
3465
4.62 KIPS |
|
|
Text Classification (HP)
|
99% |
6458
8.62 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4271
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11051
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12039
208.0 IPS |
