Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
41857
Single Precision Score
56705
Half Precision Score
31323
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 06:31 PM |
| Views | 10 |
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 | High 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% |
14996
2.79 KIPS |
|
|
Image Classification (HP)
|
99% |
19504
3.64 KIPS |
|
|
Image Classification (Q)
|
100% |
12572
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25872
419.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
32442
525.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24607
400.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
350633
409.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
602115
702.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
302401
354.1 IPS |
|
|
Object Detection (SP)
|
100% |
21304
1.69 KIPS |
|
|
Object Detection (HP)
|
100% |
27810
2.21 KIPS |
|
|
Object Detection (Q)
|
89% |
17956
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
59798
710.5 IPS |
|
|
Face Detection (HP)
|
100% |
73271
870.6 IPS |
|
|
Face Detection (Q)
|
97% |
49209
586.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
103364
796.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
173889
1.34 KIPS |
|
|
Depth Estimation (Q)
|
75% |
75301
607.9 IPS |
|
|
Style Transfer (SP)
|
100% |
644025
827.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1203339
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
548604
707.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65327
2.41 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84944
3.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47894
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3804
5.08 KIPS |
|
|
Text Classification (HP)
|
99% |
4615
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2345
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5759
99.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5398
93.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2371
52.9 IPS |
