Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
41284
Single Precision Score
56139
Half Precision Score
31026
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | October 04 2024 06:45 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14577
2.71 KIPS |
|
|
Image Classification (HP)
|
99% |
18947
3.53 KIPS |
|
|
Image Classification (Q)
|
100% |
12284
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25712
416.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
32466
526.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
24460
397.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
353779
412.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
597860
697.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
304636
356.7 IPS |
|
|
Object Detection (SP)
|
100% |
21225
1.68 KIPS |
|
|
Object Detection (HP)
|
100% |
27766
2.20 KIPS |
|
|
Object Detection (Q)
|
89% |
18010
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
58897
699.8 IPS |
|
|
Face Detection (HP)
|
100% |
72445
860.8 IPS |
|
|
Face Detection (Q)
|
97% |
48421
577.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
102527
789.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
171091
1.32 KIPS |
|
|
Depth Estimation (Q)
|
75% |
74626
602.4 IPS |
|
|
Style Transfer (SP)
|
100% |
637993
820.1 IPS |
|
|
Style Transfer (HP)
|
100% |
1179618
1.52 KIPS |
|
|
Style Transfer (Q)
|
98% |
542388
699.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
63588
2.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
82675
3.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47014
1.74 KIPS |
|
|
Text Classification (SP)
|
100% |
3645
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4449
5.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2280
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5723
98.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5662
97.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2387
53.2 IPS |
