Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
41964
Single Precision Score
57157
Half Precision Score
31296
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | August 19 2024 07:34 PM |
| Views | 128 |
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% |
15024
2.79 KIPS |
|
|
Image Classification (HP)
|
99% |
19627
3.66 KIPS |
|
|
Image Classification (Q)
|
100% |
12584
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26002
421.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
32743
530.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
24350
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
348439
406.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
602420
702.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
301520
353.1 IPS |
|
|
Object Detection (SP)
|
100% |
21404
1.70 KIPS |
|
|
Object Detection (HP)
|
100% |
27872
2.21 KIPS |
|
|
Object Detection (Q)
|
89% |
17981
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
60072
713.8 IPS |
|
|
Face Detection (HP)
|
100% |
73950
878.7 IPS |
|
|
Face Detection (Q)
|
97% |
49130
585.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
103478
797.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
173881
1.34 KIPS |
|
|
Depth Estimation (Q)
|
75% |
74932
604.9 IPS |
|
|
Style Transfer (SP)
|
100% |
647138
831.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1202335
1.55 KIPS |
|
|
Style Transfer (Q)
|
98% |
549373
708.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
65014
2.40 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
84323
3.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47796
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
3826
5.11 KIPS |
|
|
Text Classification (HP)
|
99% |
4618
6.16 KIPS |
|
|
Text Classification (Q)
|
97% |
2349
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5810
100.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5729
98.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2390
53.3 IPS |
