MicroElectronics G478
Geekbench AI Score
6205
Single Precision Score
1939
Half Precision Score
10399
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | StaceyErin44 |
| Upload Date | August 29 2025 01:21 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
5310
987.5 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.3 IPS |
|
|
Image Classification (Q)
|
99% |
7992
1.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2495
40.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
14267
232.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12606
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
5287
6.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
39237
46.0 IPS |
|
|
Object Detection (SP)
|
100% |
4731
375.2 IPS |
|
|
Object Detection (HP)
|
100% |
884
70.1 IPS |
|
|
Object Detection (Q)
|
86% |
8821
708.9 IPS |
|
|
Face Detection (SP)
|
100% |
14267
169.5 IPS |
|
|
Face Detection (HP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (Q)
|
97% |
13907
165.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14195
109.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2531
19.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
19752
157.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27863
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
12995
16.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24797
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4223
155.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2360
87.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7129
264.0 IPS |
|
|
Text Classification (SP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (HP)
|
100% |
982
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1786
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2497
43.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1152
19.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4322
86.8 IPS |
