MicroElectronics G483
Geekbench AI Score
46028
Single Precision Score
68498
Half Precision Score
34057
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | dr3d |
| Upload Date | September 25 2025 02:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | MicroElectronics G483 |
| Motherboard | Gigabyte Technology Co., Ltd. Z890 AORUS ELITE X ICE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16274
3.03 KIPS |
|
|
Image Classification (HP)
|
100% |
20341
3.78 KIPS |
|
|
Image Classification (Q)
|
100% |
14674
2.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
35123
569.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
43906
711.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
31543
512.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
393925
459.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
909788
1.06 KIPS |
|
|
Pose Estimation (Q)
|
96% |
316429
370.7 IPS |
|
|
Object Detection (SP)
|
100% |
21814
1.73 KIPS |
|
|
Object Detection (HP)
|
100% |
29775
2.36 KIPS |
|
|
Object Detection (Q)
|
85% |
19088
1.54 KIPS |
|
|
Face Detection (SP)
|
100% |
69904
830.6 IPS |
|
|
Face Detection (HP)
|
100% |
94149
1.12 KIPS |
|
|
Face Detection (Q)
|
97% |
54877
654.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
103187
795.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
191086
1.47 KIPS |
|
|
Depth Estimation (Q)
|
77% |
73893
591.8 IPS |
|
|
Style Transfer (SP)
|
100% |
578768
744.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1619779
2.08 KIPS |
|
|
Style Transfer (Q)
|
98% |
489946
631.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
70099
2.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
93268
3.44 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50296
1.86 KIPS |
|
|
Text Classification (SP)
|
100% |
4297
5.74 KIPS |
|
|
Text Classification (HP)
|
100% |
5104
6.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2442
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
6911
119.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6776
116.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3078
57.7 IPS |
