Gigabyte Technology Co., Ltd. X670E AORUS MASTER
Geekbench AI Score
15227
Single Precision Score
26746
Half Precision Score
10275
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 24 2024 01:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3060 |
| 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 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6624
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
11257
2.10 KIPS |
|
|
Image Classification (Q)
|
99% |
4955
924.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
10331
167.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
16579
268.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8277
134.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
73772
86.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
192692
224.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
59981
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
7722
612.5 IPS |
|
|
Object Detection (HP)
|
100% |
14664
1.16 KIPS |
|
|
Object Detection (Q)
|
84% |
6039
487.0 IPS |
|
|
Face Detection (SP)
|
100% |
17939
213.2 IPS |
|
|
Face Detection (HP)
|
100% |
30304
360.1 IPS |
|
|
Face Detection (Q)
|
97% |
14161
168.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
34396
265.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
70508
544.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
23838
190.8 IPS |
|
|
Style Transfer (SP)
|
100% |
121654
156.4 IPS |
|
|
Style Transfer (HP)
|
100% |
311462
400.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95792
123.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22413
827.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37836
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14076
521.2 IPS |
|
|
Text Classification (SP)
|
100% |
2593
3.46 KIPS |
|
|
Text Classification (HP)
|
99% |
3468
4.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1317
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4069
70.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1474
27.7 IPS |
