MicroElectronics G478
Geekbench AI Score
6085
Single Precision Score
6068
Half Precision Score
15051
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | StaceyErin44 |
| Upload Date | August 29 2025 01:25 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MicroElectronics G478 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z790 EDGE WIFI (MS-7D91) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3982
740.6 IPS |
|
|
Image Classification (HP)
|
100% |
3965
737.4 IPS |
|
|
Image Classification (Q)
|
100% |
10542
1.96 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5344
86.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5348
86.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11694
189.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9923
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
9925
11.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
35193
41.2 IPS |
|
|
Object Detection (SP)
|
100% |
3309
262.5 IPS |
|
|
Object Detection (HP)
|
100% |
3238
256.8 IPS |
|
|
Object Detection (Q)
|
88% |
11227
900.0 IPS |
|
|
Face Detection (SP)
|
100% |
9567
113.7 IPS |
|
|
Face Detection (HP)
|
100% |
9093
108.0 IPS |
|
|
Face Detection (Q)
|
100% |
14285
169.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8658
66.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8718
67.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
30008
233.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25263
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
25123
32.3 IPS |
|
|
Style Transfer (Q)
|
98% |
98170
126.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4367
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4665
172.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17784
658.6 IPS |
|
|
Text Classification (SP)
|
100% |
3295
4.40 KIPS |
|
|
Text Classification (HP)
|
100% |
3302
4.41 KIPS |
|
|
Text Classification (Q)
|
92% |
5604
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3239
55.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2921
50.3 IPS |
